Journal of Medical and Health Studies
type: channel
description: Journal of Medical and Health Studies (ISSN: 2710-1452) is a peer-reviewed International Journal published by Al-Kindi Center for Research and Development. The journal covers scholarly articles in the fields of Medicine and Public Health. All articles are freely available without charge to the users or their institutions; thus, ensuring high visibility and increasing citations for all research articles published. The journal aims to facilitate scholarly work on recent theoretical and practical aspects of health and medical sciences. Academics, policymakers, and researchers are welcome to submit their manuscripts at any time.
publisher: Al-Kindi Center for Research and Development
language: en
publication name: Journal of Medical and Health Studies
issn: 2710-1452
items: A Rare Chest Presentation of Inflammatory Bowel Disease: Spontaneous Pneumomediastinum in Crohn’s Disease
items: The Unexpected Diagnosis: Refractory Pneumonia as The First Manifestation of HIV in a Low-risk Individual
items: The Unlikely Duo: Gross Hematuria and Clubbing Revealing Hidden Malignancy
items: The Mechanism of Antiviral Action with Acupuncture Based on COVID-19: Antiviral Action and Acupuncture
items: Chronic Thromboembolic Pulmonary Hypertension Manifesting as Exertional Limitation: A Clinical Diagnostic Perspective
items: Robotic Surgical Systems in Orthopaedics: Clinical Efficacy, Economic Evaluation, and Implementation Challenges
items: Applying Artificial Intelligence to Improve Early Detection and Containment of Infectious Disease Outbreaks, Supporting National Public Health Preparedness
items: Predictive Business Analytics For Reducing Healthcare Costs And Enhancing Patient Outcomes Across U.S. Public Health Systems
items: AI-Driven Prediction of Mental Disorders: Enhancing Early Diagnosis and Intervention in the USA
items: Applications of single-cell sequencing in schizophrenia research
items: Application of Single-Cell RNA Sequencing Technology: Advancing Targeted Fatty Acids for Antitumor Therapy
items: Effectiveness of Dietary Interventions on Metabolic Profile and Hormonal Profiles in Women with Polycystic Ovary Syndrome (PCOS): A Systematic Review Study
items: Cognitive Flexibility and Coping Skills as Predictors of Academic Resilience in Children with ADHD
items: Data-Driven Predictive Analytics Framework for Combating Antibiotic Resistance through AI-Enabled Drug Discovery and Surveillance
items: Spontaneous Coronary Artery Dissection in a Young Female: A Rare Cardiac Catastrophe Without Traditional Risk Factors
items: Unmasking Connective Tissue Disease Through Pulmonary Hypertension: A Diagnostic Challenge
items: Recurring Abdominal Pain: The Hidden Clue of Antiphospholipid Syndrome
items: Gut Warning: Acute Mesenteric Ischemia as The First Sign of Hidden Atrial Fibrillation
items: Advancing U.S. Healthcare with LLM–Diffusion Hybrid Models for Synthetic Skin Image Generation and Dermatological AI
items: Complications of the Patient with Hemophilia Associated with Transfusion of Blood Components or Derivatives: 35 Cases
items: Management of chronic cervical radiodermatitis lesion using latissimus dorsi flap, report of a case
items: AI-Driven Biomedical Innovation: Integrating Big Data Analytics, Wearable Intelligence, and Predictive Modeling for Global Health and Sustainability
items: Retrograde Internal Medial Plantar Flap
items: From Gall Bladder Pain to Dilutional Emergency: Cholecystitis-Induced SIADH
items: Evaluating the Impact of Artificial Intelligence on Risk Assessment in Digital Banking
items: Enhancing Medical Imaging Diagnostics Using Deep Learning Techniques
items: Integrating Deep Learning and Interpretable Regression Models for Transparent Decision Support in Healthcare Diagnostics
items: Inflammatory Biomarkers Predicting Osteoporosis in Autoimmune and Chronic Inflammatory Diseases: A Systematic Review
items: Inferior Bodylift in Moroccan Patients: Experience at the Mohamed V Military Training Hospital
items: Teorhinoplasty: A New Era in Aesthetic and Functional Rhinoplasty

A Rare Chest Presentation of Inflammatory Bowel Disease: Spontaneous Pneumomediastinum in Crohn’s Disease
type: item
description: We report the case of a 46-year-old man with long-standing Crohn’s disease who presented with acute central chest discomfort and dyspnea, following an episode of forceful vomiting. His gastrointestinal symptoms had been mild and self-managed, with no prior history of fistulizing disease. Physical examination revealed mild central chest tenderness and shallow breathing without overt respiratory distress. Initial chest radiography demonstrated mediastinal air consistent with pneumomediastinum. Subsequent contrast-enhanced CT scans of the chest, abdomen, and pelvis revealed free air tracking from a thickened terminal ileal segment through the retroperitoneum into the posterior mediastinum, suggesting a contained microperforation with a developing fistula. Laboratory workup showed mild elevation of inflammatory markers, with otherwise stable hematologic and metabolic parameters. The patient was admitted for conservative management, including supplemental oxygen, bowel rest, intravenous fluids, analgesia, and targeted antibiotics. Serial imaging and clinical monitoring demonstrated gradual resolution of mediastinal air without progression to pneumothorax or abscess. Gastroenterology follow-up focused on optimization of Crohn’s therapy to prevent recurrence. This case underscores the rare but clinically significant occurrence of pneumomediastinum secondary to fistulizing Crohn’s disease. Early recognition through imaging, careful monitoring, and multidisciplinary management allowed for a favorable outcome. Awareness of subtle respiratory manifestations in Crohn’s disease is essential to prevent misdiagnosis and guide appropriate care.
subject: Research Article
  topic: section
subject: Crohn’s disease, Ulcerative colitis, Inflammatory bowel disease, Spontaneous pneumomediastinum, Dyspnea, Shortness of breath.
  topic: keywords
creator: Abdulla Al-Ani
creator: Ashna Sharaf
creator: Zahra Isa AlAali
creator: Khadija Ahmed Marjan
creator: Gharam Mohammad Ibrahim
creator: Nada Abdelmaksoud
creator: Shahed Belal Saad
creator: Fatema Mustafa Marhoon
creator: Sujeetha Prakash
creator: Swetha Prakash
creator: Majed Mahmood Zaber
creator: Husain Ali Latif
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-12-11
publication date: 2025-12-11
starting page: 43
ending page: 50
doi: 10.32996/jmhs.2025.6.8.7

The Unexpected Diagnosis: Refractory Pneumonia as The First Manifestation of HIV in a Low-risk Individual
type: item
description: A 39-year-old previously healthy Saudi man presented with a six-week history of persistent dry cough, intermittent low-grade fever, chest heaviness, and progressive exertional dyspnea unresponsive to three outpatient antibiotic courses. Imaging revealed a new extensive pneumonic patch in the left lower and middle lobes contrasting with prior normal chest radiographs, while high-resolution CT demonstrated patchy ground-glass opacities without consolidation or cavitation. Laboratory studies showed mild anemia, leukopenia, slightly elevated inflammatory markers, and a reduced CD4 count, raising concern for underlying immunodeficiency. Routine bacterial, mycobacterial, and fungal investigations were negative, but sputum PCR confirmed Pneumocystis jirovecii, and subsequent HIV testing was positive. The patient was admitted to a monitored unit, received supplemental oxygen, and initially broad-spectrum intravenous antibiotics, followed by targeted high-dose trimethoprim-sulfamethoxazole therapy. Supportive measures included hydration, respiratory physiotherapy, nutritional optimization, and close monitoring of oxygenation, laboratory parameters, and clinical status. Antiretroviral therapy was deferred until stabilization to mitigate the risk of immune reconstitution inflammatory syndrome, with a coordinated long-term plan for secondary prophylaxis, CD4 and viral load monitoring, and follow-up imaging. This case highlights the critical need to consider HIV and opportunistic infections in adults with nonresolving pneumonia regardless of prior health status, demonstrates the importance of integrating radiographic, laboratory, and immunologic data for accurate diagnosis, and underscores the value of prompt targeted therapy combined with multidisciplinary management to optimize recovery, prevent complications, and guide long-term care.
subject: Research Article
  topic: section
subject: HIV, AIDS, Pneumonia, Refractory Pneumonia, CD4 Count, Viral Load, Pneumocystis jirovecii.
  topic: keywords
creator: Mohamed Irshad
creator: Ayswarya P
creator: Amina Jaafar Alsaffar
creator: Fatema Adel Ismaeel
creator: Nebras Zakareya Naser
creator: Zainab Hasan Rabea
creator: Sara Abduulhusain Alaali
creator: Fatema Isa Alshakhoori
creator: Teeb Saeed Alkhanaizi
creator: Fatima Hussain Ali Almansoor
creator: Fatema Naser Saleh
creator: Fatema Mustafa Marhoon
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-11-26
publication date: 2025-11-26
starting page: 23
ending page: 30
doi: 10.32996/jmhs.2025.6.8.4

The Unlikely Duo: Gross Hematuria and Clubbing Revealing Hidden Malignancy
type: item
description: A previously healthy 47-year-old Saudi male presented with a two-month history of painless gross hematuria and notable digital clubbing. The hematuria was intermittent, dark red, and unassociated with dysuria, flank pain, or systemic symptoms. Physical examination confirmed clubbing of the fingers, while vital signs and general assessment were unremarkable. Laboratory evaluation revealed mild polycythemia and borderline hypercalcemia, with otherwise normal renal and liver function. Urinalysis excluded infection or glomerular disease, and urinary cytology was negative for urothelial malignancy. Given the combination of persistent hematuria and paraneoplastic signs, imaging studies were prioritized. Renal ultrasonography identified a heterogeneous right upper pole mass, subsequently characterized by contrast-enhanced CT as a 6-cm right renal mass with heterogeneous enhancement and areas of necrosis, consistent with renal cell carcinoma (RCC), without evidence of metastasis. Multidisciplinary discussion favored radical nephrectomy, which was performed successfully with en bloc excision of the kidney, perinephric fat, and regional lymph nodes. Histopathology confirmed clear cell RCC, Fuhrman grade II, with negative margins and no lymphovascular invasion (pT1bN0M0). Postoperatively, hematuria resolved, and early regression of clubbing was observed. This case highlights the diagnostic significance of gross hematuria combined with paraneoplastic manifestations such as clubbing, emphasizing the importance of early imaging and prompt surgical intervention for localized RCC to optimize outcomes.
subject: Research Article
  topic: section
subject: Malignancy, Renal Cell Carcinoma, Clubbing, Gross Hematuria, Painless Hematuria, Paraneoplastic Syndrome.
  topic: keywords
creator: Abdelrahman Idris Mohamed Idris
creator: Basimathul Ain Mohamed Saleem
creator: Areej Ahmed Abdalla Hassan
creator: Abeer Ebrahim Mohamed
creator: Fatema Abbas Jahromi
creator: Zainab Yusuf Yaqoob
creator: Rehma Yousuf
creator: Fatema Hani Abdulla Hasan
creator: Sayed Fadhel Hashem Neama
creator: Saffaa Ahmed Hersi
creator: Zainab Habib ALQallaf
creator: Shatha Adel Sarhan
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-11-26
publication date: 2025-11-26
starting page: 31
ending page: 36
doi: 10.32996/jmhs.2025.6.8.5

The Mechanism of Antiviral Action with Acupuncture Based on COVID-19: Antiviral Action and Acupuncture
type: item
description: The virus that created COVİD-19 is a pathogen that enters the cell, multiplies, spreads and creates pathology by disrupting the functioning of the body throughout the extracellular environment. The most important step in fighting this pathogen is to prevent the virus from entering the cell. The second step is to inhibit the polymerase enzyme to prevent it from multiplying in the cell, and in the third step, to form antibodies against the protein formed. In the current medical system, it is out of question to receive news from within the cell. The vascular, lymphatic and nervous systems have no connection with the intracellular environment. The acupuncture channel (meridian) system, also known as the primordial system, has intracellular extensions. And these extensions have a connection with the outside. In accordance with the concept of the new cell, the meridian system has an external relationship. Acupuncture treatment affects through these relations. However, a model describing the antiviral mechanism of action with acupuncture is not yet available. In this study, we tried to create such a model by making use of western medicine.
subject: Research Article
  topic: section
subject: Acupuncture
  topic: keywords
subject: primordial system
  topic: keywords
subject: antiviral effect
  topic: keywords
subject: solid cell
  topic: keywords
creator: hatice hale temel
creator: cemal çevik
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-12-11
publication date: 2025-12-11
starting page: 37
ending page: 42
doi: 10.32996/jmhs.2025.6.8.6

Chronic Thromboembolic Pulmonary Hypertension Manifesting as Exertional Limitation: A Clinical Diagnostic Perspective
type: item
description: Chronic thromboembolic pulmonary hypertension (CTEPH) is a rare but potentially progressive cause of pulmonary hypertension, often presenting with subtle exertional symptoms that delay diagnosis. We report the case of a 34-year-old man with no prior chronic medical conditions who presented with a three-month history of progressive exertional dyspnea and fatigue, accompanied by intermittent lower extremity edema and Raynaud-like color changes in the toes. Physical examination revealed mild ankle edema and subtle digital clubbing, with otherwise unremarkable cardiopulmonary and musculoskeletal findings. Laboratory evaluation showed elevated NT-proBNP, modestly raised D-dimer, and preserved renal and hepatic function. Transthoracic echocardiography revealed right ventricular dilation with preserved systolic function and an estimated pulmonary artery systolic pressure of 62 mmHg. Pulmonary function testing was largely normal, but computed tomography pulmonary angiography demonstrated organized thrombotic material in segmental and subsegmental pulmonary arteries bilaterally. Right heart catheterization confirmed pre-capillary pulmonary hypertension. Further evaluation revealed combined congenital deficiencies of protein S and protein C, explaining the thrombotic predisposition in the absence of prior venous thromboembolic events. The patient was managed with anticoagulation, cautious diuresis, supportive therapy, and initiation of pulmonary vasodilator therapy, with referral to a specialized center for consideration of surgical intervention. This case emphasizes the importance of thorough clinical evaluation, early imaging, and hemodynamic assessment in young adults presenting with unexplained exertional limitation. Recognition of underlying thrombophilic disorders is crucial to guide management, prevent recurrent thrombosis, and preserve right ventricular function, underscoring the value of a multidisciplinary approach in optimizing long-term outcomes in CTEPH.
subject: Research Article
  topic: section
subject: Shortness of breath, Dyspnea, Chronic thrombo-embolic pulmonary embolism, CTEPH, Protein S\C deficiency, Thrombophilia.
  topic: keywords
creator: Noor Mustafa Ahmed Naser
creator: Fathma Nafeesa
creator: Abdulwahhab Al-Shaikhli
creator: Alzain Moosa Albalooshi
creator: Hadeel N. Alhussan
creator: Fatema Hasan Mohamed
creator: Doaa Abdeljaleel
creator: Fatema Mohamed Alam
creator: Ahmed-Lamin Gehani
creator: Batool Abdulhusain Meshaimea
creator: Aysha Abdulwahed Aljassmi
creator: Zainab A. Marathi
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-11-17
publication date: 2025-11-17
starting page: 12
ending page: 19
doi: 10.32996/jmhs.2025.6.7.2

Robotic Surgical Systems in Orthopaedics: Clinical Efficacy, Economic Evaluation, and Implementation Challenges
type: item
description: Orthopaedic surgery is rapidly undergoing a technological transformation, driven by the integration of digital navigation, computer-assisted planning, and robotic systems. Robotic surgical systems are primarily used in knee and hip arthroplasty, as well as spinal surgery, with the goals of improving implant placement accuracy, reducing complication rates, and enhancing patient safety. These technologies have an impact on operation duration, error rates, and learning curves depending on the surgeon’s level of experience. However, high capital investment, maintenance costs, and consumables mean that cost-effectiveness is closely linked to case volume. Thus, the economic sustainability of robotic systems depends not only on technological efficiency but also on high procedure volume, appropriate reimbursement policies, and interdisciplinary operational integration. From an ethical and legal perspective, the spread of robotic surgery has brought new issues to the fore, such as responsibility sharing, transparency of AI-assisted decision systems, data security, and informed consent processes. In terms of clinical management, safe and effective implementation of robotic surgery requires standardized training programs for surgeons and teams, ongoing technical support, and clear, understandable policies and regulations. This review examines orthopaedic robotic surgery in terms of clinical efficacy, economic evaluation, and management, aiming to propose a holistic approach for the safe, ethical, and financially sustainable integration of technology into healthcare systems.
subject: Research Article
  topic: section
subject: Robotic surgery, orthopaedics, cost-effectiveness, health economics, artificial intelligence, ethical management, clinical effectiveness, ROI
  topic: keywords
creator: Ege ISLATINCE
creator: Sridhar Rao Sampalli
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/
date: 2025-11-16
publication date: 2025-11-16
starting page: 01
ending page: 11
doi: 10.32996/jmhs.2025.6.7.1

Applying Artificial Intelligence to Improve Early Detection and Containment of Infectious Disease Outbreaks, Supporting National Public Health Preparedness
type: item
description: The swift transmission of infectious diseases constitutes a serious global public health problem and therefore there is a need for sophisticated tools to improve early detection and containment measures. Artificial Intelligence (AI) has become a powerful tool in the transformation of public health preparedness as a means of providing real-time intelligence, predictive modeling and data-driven interventions. This article explores the application of AI in the improvement of early detection of infectious diseases outbreaks and improved containment efforts. We go over some use cases that are important in recent studies, including AI-driven surveillance systems, predictive modeling in disease spreading, and big data analytics that works to optimize response strategies. Notably, AI has been instrumental in the face of the current pandemic, known as the Coronavirus or Covid-19, with its role in diagnostics, tracking and developing preventative measures. However, challenges, such as data privacy, cross-sector data integration and algorithmic biases, have to be addressed in order to leverage the full potential of AI. The article also speaks of incorporating AI with other technologies, like telehealth and digital health systems, in creating resilient public health infrastructures. Overall, AI is set to make a significant impact on the preparedness of a country by improving its early warning systems, decision-making, and response coordination efforts which will ultimately reduce the impact of future outbreaks.
subject: Research Article
  topic: section
subject:
  topic: keywords
  value: Artificial Intelligence, Infectious Disease Outbreaks, Early Detection, Public Health Preparedness, Machine Learning, Predictive Analytics, Disease Surveillance, Health System Optimization, Deep Learning, Generative AI
creator: Md Mahababul Alam Rony
creator: Md Shadman Soumik
creator: Farzana Akter
rights: Copyright (c) 2023 https://creativecommons.org/licenses/by/4.0/
date: 2023-05-13
publication date: 2023-05-13
starting page: 82
ending page: 93
doi: 10.32996/jmhs.2023.4.3.12

Predictive Business Analytics For Reducing Healthcare Costs And Enhancing Patient Outcomes Across U.S. Public Health Systems
type: item
description: The increasing healthcare expenses, especially in U.S. government-funded health systems, are a significant burden to policymakers and medical practitioners. Although the issue of predictive analytics as an intervention in enhancing patient outcomes and cost reduction has gained traction as a concept, there is a knowledge gap in the area of how such technologies can be systematized in large-scale public health environments. The aim of the research was to assess the role of predictive business analytics in terms of healthcare costs and patient outcomes in the U.S. public health systems. The research employed a mixed-methods design, which involved both quantitative analyses of the data on costs and patient outcomes from 50 public health facilities, as well as qualitative analyses of the effectiveness of predictive models. The data were gathered in the electronic health records (EHRs) and examined with the help of regression models, t-tests, and correlation. The results showed that the healthcare costs reduced significantly (mean reduction of 8.5% p < 0.05) and that patient outcomes also improved, with a 12% decline in hospital readmission rates and a 15-point increase in patient satisfaction scores (p < 0.01). These findings highlight the possible opportunities of predictive analytics in streamlining health care delivery and minimizing expenses. The study multiplies the existing literature in the field of application of data-driven decision-making to the field of healthcare, providing empirical evidence of its effectiveness in the public health systems. This study opens the possibilities of wider implementation of predictive analytics tools to improve cost-efficiency and patient care in the field of public health.
subject: Research Article
  topic: section
subject: healthcare costs, predictive analytics, patient outcomes, public health systems, U.S. healthcare
  topic: keywords
creator: Adib Hossain
creator: Khandaker ataur Rahman
creator: Ismoth Zerine
creator: Md Mainul Islam
creator: Shaid Hasan
creator: Zulkernain Doha
rights: Copyright (c) 2023 https://creativecommons.org/licenses/by-nc/4.0
date: 2023-02-27
publication date: 2023-02-27
starting page: 97
ending page: 111
doi: 10.32996/jmhs.2023.4.1.12

AI-Driven Prediction of Mental Disorders: Enhancing Early Diagnosis and Intervention in the USA
type: item
description: Early detection of mental disorders remains one of the most pressing challenges in U.S. public health, as socioeconomic and behavioral indicators often precede clinical diagnosis but are rarely integrated into predictive frameworks. This study develops an AI-driven diagnostic pipeline that fuses demographic, behavioral, and social determinants of health to predict risk for major mental disorders, including anxiety, depression, and post-traumatic stress disorder (PTSD). Using a population-scale dataset of over 10,000 anonymized health records combining age, sex, BMI, income, education, and lifestyle behaviors, we benchmark five machine learning models, Logistic Regression, Random Forest, XGBoost, Support Vector Machine (SVM), and a Multi-Layer Perceptron (MLP), across both unbalanced and SMOTE-balanced conditions. The evaluation integrates multiple dimensions: discrimination (ROC-AUC, PR-AUC), calibration (Brier score, reliability curves), and fairness across demographic subgroups (sex, rural–urban classification). SHAP-based explainability is employed to interpret model behavior and to identify dominant risk predictors and interaction effects, while robustness checks probe performance under covariate shifts and synthetic missingness. Results show that ensemble and deep models outperform classical baselines, with XGBoost achieving an average ROC-AUC of 0.90 and strong calibration stability. Income level, alcohol consumption, and BMI category emerge as top predictors, reflecting known epidemiological associations. Subgroup analysis demonstrates consistent performance across demographic segments, underscoring model fairness and generalizability. Collectively, the findings illustrate how interpretable AI can enhance early detection and risk stratification for mental health conditions, providing a data-driven foundation for preventive interventions, policy guidance, and equitable digital mental health systems in the United States.
subject: Research Article
  topic: section
subject: Mental Health Prediction
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Explainable AI
  topic: keywords
subject: Fairness
  topic: keywords
subject: XGBoost
  topic: keywords
subject: SHAP
  topic: keywords
subject: Early Diagnosis
  topic: keywords
subject: Public Health
  topic: keywords
creator: Irin Akter Liza
creator: Shah Foysal Hossain
creator: Sarmin Akter
creator: Afsana Mahjabin Saima
creator: Mitu Akter
creator: Ayasha Marzan
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-11-08
publication date: 2025-11-08
starting page: 36
ending page: 53
doi: 10.32996/jmhs.2025.6.6.7

Applications of single-cell sequencing in schizophrenia research
type: item
description: Schizophrenia (SCZ) is a highly heritable, severe neuropsychiatric disorder characterized by complex genetic architecture and heterogeneous clinical manifestations. Despite decades of research, the precise molecular and cellular mechanisms underlying its pathogenesis remain incompletely elucidated, which significantly hinders the development of effective preventive strategies and complicates treatment approaches. This comprehensive review systematically examines the emerging application of cutting-edge single-cell sequencing technologies in SCZ research. Single-cell sequencing serves as an unprecedented high-resolution molecular microscope, providing researchers with the remarkable ability to distinguish and characterize the minute individual cellular and molecular components that constitute the extraordinarily complex SCZ "puzzle". The systematic integration of these diverse molecular fragments into a unified, coherent pathophysiological framework holds tremendous promise for yielding transformative research advancements that could fundamentally alter our approach to SCZ diagnosis, treatment, and prevention.
subject: Research Article
  topic: section
subject: Single-cell sequencing; Schizophrenia (SCZ)
  topic: keywords
creator: Yuxin Huang
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/
date: 2025-11-07
publication date: 2025-11-07
starting page: 30
ending page: 35
doi: 10.32996/jmhs.2025.6.6.6

Application of Single-Cell RNA Sequencing Technology: Advancing Targeted Fatty Acids for Antitumor Therapy
type: item
description: The occurrence and progression of tumors are closely linked to the abnormal metabolic mechanism of fatty acids. In tumor cells, fatty acids are highly expressed and provide molecular structural substances for cells, thereby sustaining tumor growth. In previous experiments, researchers cultured cells in a fatty acid-deficient environment and analyzed the growth status of the cells in batches. These studies confirmed that fatty acids play crucial roles in tumorigenesis and have spurred research on targeted regulation for tumor therapy. However, traditional cellular and molecular experiments have certain limitations, making it difficult to resolve the key issue of metabolic heterogeneity among different subpopulations of tumor cells. This limitation has contributed to the failure of targeted therapies to achieve long-lasting therapeutic effects in the treatment of some solid tumors. In contrast, single-cell RNA sequencing (scRNA-seq) technology can analyze gene expression profiles at the single-cell level, overcoming the constraints of traditional methods, and has thus been widely applied in research on tumor metabolism. This technology can accurately identify tumor cell subpopulations with specific phenotypes (such as cancer cell subpopulations with high expression of fatty acid synthase and radiotherapy-resistant glioblastoma cell subpopulations dependent on fatty acid oxidation), clarify the remodeling effects of metabolic heterogeneity on the tumor microenvironment, and provide a detailed molecular mechanism basis for research on targeted tumor therapy. Consequently, it can effectively address the problem of metabolic heterogeneity in tumor cells. In the future, we can integrate scRNA-seq with technologies such as lipidomics and spatial transcriptomics to promote its clinical translation, guide personalized targeted therapy, and provide a precise and efficient new strategy for metabolic targeted therapy in tumors.
subject: Research Article
  topic: section
subject: Single-cell RNA sequencing technology; Fatty acids; Metabolic heterogeneity; Cancer; Targeted therapy
  topic: keywords
creator: Zenan He
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/
date: 2025-11-07
publication date: 2025-11-07
starting page: 25
ending page: 29
doi: 10.32996/jmhs.2025.6.6.5

Effectiveness of Dietary Interventions on Metabolic Profile and Hormonal Profiles in Women with Polycystic Ovary Syndrome (PCOS): A Systematic Review Study
type: item
description: Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age, characterized by insulin resistance, visceral fat accumulation, dyslipidemia, and hyperandrogenism. The combination of metabolic and hormonal disorders worsens reproductive function, increases the risk of cardiometabolic disease, and decreases quality of life. Dietary interventions have become a promising non-pharmacological strategy for improving metabolic and hormonal regulation in PCOS patients. This systematic review was prepared following the guidelines of PRISMA 2020. Literature searches were conducted on PubMed, ScienceDirect, and the Cochrane Library until August 2025. Inclusion criteria included randomized controlled trials (RCTs) in PCOS women with a BMI ≥ 25 kg/m², which evaluated the effects of dietary interventions on metabolic and hormonal profiles. Of the 437 articles screened, seven studies (n = 406 participants) met the eligibility criteria and were critically analyzed. A review of seven RCT studies showed that dietary interventions such as ketogenic, VLCKD, Mediterranean, and low-calorie diets had a positive impact on metabolic and hormonal profiles in women with PCOS. The combination of licorice + a low-calorie diet is effective in lowering insulin resistance while the PMCD diet is more effective in lowering LDL and TG. Hormonal improvements were reflected in increased SHBG (p = 0.042) and decreased LH (p < 0.05), especially in PMCD and ketogenic diets. The low-AGEs diet also helps with weight loss, waist circumference, and HOMA-IR, although data are still limited. The KEMEPHY diet and Low-AGEs showed that both diets had a significant impact on VAT and VFL (p<0.005), with only two studies explicitly describing these outcomes, so more research is needed. Dietary interventions are effective in lowering metabolic profiles, balancing hormonal regulation, and having a positive impact on visceral fat, in women with PCOS. KD and VLCKD are the most promisi…
subject: Research Article
  topic: section
subject: diet intervention
  topic: keywords
subject: visceral adipose tissue
  topic: keywords
subject: lipid profile
  topic: keywords
subject: hormone profile
  topic: keywords
subject: polycystic ovary syndrome
  topic: keywords
creator: Intan Lestari Putri
creator: Ni Wayan Jayanti Pradnyandari
creator: Agustinus I Wayan Harimawan
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-11-23
publication date: 2025-11-23
starting page: 05
ending page: 16
doi: 10.32996/jmhs.2025.6.8.2

Cognitive Flexibility and Coping Skills as Predictors of Academic Resilience in Children with ADHD
type: item
description: Children with Attention-Deficit/Hyperactivity Disorder (ADHD) face continuous challenges in maintaining attention, regulating impulses, and managing emotions, which often affects their academic engagement and performance. Recent research emphasizes academic resilience—the capacity to recover and remain motivated despite difficulties—as a vital factor for academic success in ADHD populations. This review synthesizes empirical findings on two core predictors of academic resilience: cognitive flexibility and coping skills. Cognitive flexibility enables children to shift perspectives and adapt strategies in response to challenges, while coping skills transform these cognitive adjustments into sustained behavioral and emotional regulation. The review integrates evidence from global and emerging studies, highlighting that these constructs are malleable through intervention. Training programs that strengthen flexibility and coping, when combined with pharmacological or environmental supports, can significantly enhance resilience in children with ADHD. Future research should adopt longitudinal and neurocognitive approaches to clarify developmental mechanisms and optimize intervention design.
subject: Research Article
  topic: section
subject: ADHD
  topic: keywords
subject: COGNITIVE FLEXIBILITY
  topic: keywords
subject: COPING SKILLS
  topic: keywords
subject: ACADEMIC RESILIENCE
  topic: keywords
creator: Gracia Tirza Effendy
creator: Yunias Setiawati
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-11-23
publication date: 2025-11-23
starting page: 01
ending page: 04
doi: 10.32996/jmhs.2025.6.8.1

Data-Driven Predictive Analytics Framework for Combating Antibiotic Resistance through AI-Enabled Drug Discovery and Surveillance
type: item
description: Antibiotic resistance (AR) has become a pressing concern to the world at large. This has been the case as a proactive strategy can now only be achieved through the use of intelligent solutions toward curbing AR. Research has shown that the development of antibiotics has been hampered by the long drug development process. Moreover, the increase in resistance among microbes has been faster compared to the development of effective antibiotics. This researcher introduces a Data-Driven Predictive Analytics Framework. This has been based on Manik et al. (2018-2023), as the researcher has used AI solutions for the development of medications. This has progressed from drug development to the usage of analytics for chronic and neurological disorders. This has finally led to the development of the Data-Driven Predictive Analysis Framework. This will consist of four aspects: (1) the development of data from multiple sources including genomics and phenomics. This will also involve the usage of the environment. (2) This study will apply analytics solutions to predict the development of AR. (3) AI solutions will also incorporate solutions to develop medications. This has been the final aspect as the researcher concludes the drug development framework. (4) This will involve the development of solutions across the world. This has been the case as the world has been suffering due to the lack of effective antibiotic development. This has been based on the CDC as well as WHO guidelines.
subject: Research Article
  topic: section
subject: Antibiotic resistance, predictive analytics, AI-enabled drug discovery, big data, multi-omics, surveillance, machine learning.
  topic: keywords
creator: Sabiha Nusrat Tarin
creator: Borhan Uddin
creator: Forhad Hossain
rights: Copyright (c) 2023 https://creativecommons.org/licenses/by/4.0/
date: 2023-12-26
publication date: 2023-12-26
starting page: 143
ending page: 149
doi: 10.32996/jmhs.2023.4.6.17

Spontaneous Coronary Artery Dissection in a Young Female: A Rare Cardiac Catastrophe Without Traditional Risk Factors
type: item
description: Spontaneous coronary artery dissection (SCAD) is an uncommon cause of acute coronary syndrome, predominantly affecting young women without traditional cardiovascular risk factors. We report a 32-year-old female who presented with sudden-onset, severe retrosternal chest pain radiating to the left arm, associated with diaphoresis and mild dyspnea. She had no history of hypertension, diabetes, dyslipidemia, smoking, or family history of premature coronary artery disease. Initial evaluation revealed subtle ST-segment changes on electrocardiogram and modestly elevated high-sensitivity troponin I levels. Coronary angiography demonstrated a type 2 SCAD of the mid-left anterior descending artery, confirmed by intracoronary imaging showing an intramural hematoma with preserved distal flow. Laboratory workup, echocardiography, and computed tomography angiography for extracoronary vascular assessment were unremarkable. Given hemodynamic stability and maintained coronary perfusion, the patient was managed conservatively with dual antiplatelet therapy, beta-blockers, and close monitoring, with plans for follow-up imaging to assess vascular healing. This case underscores the importance of considering SCAD in young women presenting with acute chest pain, highlights the critical role of coronary imaging in diagnosis, and demonstrates that tailored conservative management can lead to favorable outcomes while avoiding unnecessary interventions.
subject: Research Article
  topic: section
subject:
  topic: keywords
  value: Spontaneous coronary artery dissection, SCAD, acute coronary syndrome, young female, intramural hematoma, conservative management, coronary angiography, non-atherosclerotic coronary disease, cardiac emergency, chest pain.
creator: Yusuf Mohammed Saleh Al-Hindi
creator: Salsabil Mosaad Fawzy Attia
creator: Zainab A.Rasool Shaar
creator: Fatema Abdulla Yusuf
creator: Sharaf Mohammed Saleh
creator: Maryam Ebrahim Almohsen
creator: Maryam Adil Saeed Ali
creator: Fatema Hani Abdulla Hasan
creator: Aqsa Mohammad Eqbal Patel
creator: Michelle Shibu
creator: Sarah Ahmed Baqer
creator: Afra Faisal Eltirafi Ahmed
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-11-01
publication date: 2025-11-01
starting page: 13
ending page: 18
doi: 10.32996/jmhs.2025.6.6.3

Unmasking Connective Tissue Disease Through Pulmonary Hypertension: A Diagnostic Challenge
type: item
description: Pulmonary arterial hypertension (PAH) is a severe and potentially life-threatening manifestation of connective tissue diseases, often presenting insidiously and complicating timely diagnosis. We report the case of a 48-year-old Saudi woman with no prior chronic illness who presented with progressive exertional dyspnea and fatigue over six weeks. Examination revealed mild central cyanosis, elevated jugular venous pressure, and a prominent right ventricular heave. Laboratory evaluation showed elevated NT-proBNP and mild hypoxemia, while echocardiography demonstrated right ventricular dilation and an estimated pulmonary artery systolic pressure of 70 mmHg. Right heart catheterization confirmed pre-capillary pulmonary hypertension. Serologic workup revealed high-titer anti-U1 RNP antibodies, ANA positivity, and features consistent with mixed connective tissue disease (MCTD), with no evidence of left heart disease, thromboembolic disease, or significant interstitial lung involvement. Management included combination PAH-targeted therapy with an endothelin receptor antagonist and a phosphodiesterase-5 inhibitor, alongside low-dose corticosteroid immunosuppression. Supportive care comprised oxygen supplementation and close hemodynamic monitoring. Over three months, the patient’s functional status improved from WHO functional class III to II, with reduction in NT-proBNP and increased six-minute walk distance. This case underscores the diagnostic challenge of MCTD presenting primarily with PAH, emphasizing that subtle systemic features may precede cardiovascular compromise. Early recognition, prompt hemodynamic assessment, and a multidisciplinary management strategy are crucial to improve prognosis and prevent irreversible right ventricular dysfunction. Clinicians should maintain a high index of suspicion for PAH in patients with connective tissue disease, even in the absence of overt systemic manifestations.
subject: Research Article
  topic: section
subject: Pulmonary hypertension, connective tissue disease, autoimmune disease, interstitial lung disease, systemic sclerosis, vasculopathy, diagnostic challenge, and pulmonary vascular disease.
  topic: keywords
creator: Mohamed AM Sayed
creator: Mahmoud Ahmad Alshabani
creator: Michelle Shibu
creator: Sakina Husain Mohamed
creator: Sayed Ahmed Alaali
creator: Zainab Faiq Ismaeel
creator: Sara Hasan Alhosani
creator: Ebrahim Muslem Shaheen
creator: Latifa Mohamed Hazeem
creator: Noor Ameen Kadhem
creator: Walaa Ebrahim Khamis
creator: Zainab A. Marathi
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-11-01
publication date: 2025-11-01
starting page: 19
ending page: 24
doi: 10.32996/jmhs.2025.6.6.4

Recurring Abdominal Pain: The Hidden Clue of Antiphospholipid Syndrome
type: item
description: Recurrent abdominal pain is a common clinical presentation, yet when episodes are severe, episodic, and unexplained by routine gastrointestinal investigations, vascular etiologies must be considered. We present a 52-year-old previously healthy man with a six-week history of intermittent, severe central abdominal pain, culminating in an acute exacerbation. Prior evaluations, including ultrasound, non-contrast CT, and endoscopy, were unrevealing. On acute presentation, laboratory studies demonstrated elevated D-dimer and mild lactate elevation, prompting contrast-enhanced CT angiography, which revealed a proximal superior mesenteric artery thrombus with preserved bowel viability. Further workup confirmed triple-positive antiphospholipid syndrome (APS), establishing the underlying prothrombotic etiology. The patient underwent urgent systemic anticoagulation with unfractionated heparin followed by successful endovascular thrombectomy and catheter-directed thrombolysis. He was subsequently transitioned to long-term warfarin therapy with multidisciplinary follow-up. This case highlights the protean manifestations of APS, demonstrating that recurrent, transient mesenteric ischemia may precede catastrophic arterial thrombosis. Early recognition, prompt vascular imaging, and tailored anticoagulation—combined with minimally invasive revascularization when feasible—are pivotal in preventing bowel infarction and optimizing outcomes. Clinicians should maintain high suspicion for APS in atypical thrombotic presentations beyond the classic venous or cerebrovascular events.
subject: Research Article
  topic: section
subject:
  topic: keywords
  value: Abdominal Pain, Antiphospholipid Syndrome, Thrombophilia, Mesenteric Ischemia, Arterial Thrombosis, Lupus Anticoagulant, Anticardiolipin, AntiB2-Glycoprotein I, Anticoagulation, Thrombosis, Small Bowel Infarction.
creator: Zainab Sayed Shubbar Yusuf
creator: Michelle Shibu
creator: Maryam Isa Abdulrasool
creator: Hanan Adel Mahallawi
creator: Sara Ali Abdulla
creator: Manar Ali Maki
creator: Ranya Ali Maki
creator: Husain M. Almeshal
creator: Roaa Mahmood Ahmed
creator: Noor Mustafa Ahmed Naser
creator: Fatema Hasan Alajmi
creator: Maryam Mohamed M. Alekri
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-10-27
publication date: 2025-10-27
starting page: 06
ending page: 12
doi: 10.32996/jmhs.2025.6.6.2

Gut Warning: Acute Mesenteric Ischemia as The First Sign of Hidden Atrial Fibrillation
type: item
description: Some surgical abdomens may present with severe pain that appears disproportionate to physical examination findings, a red flag that clinicians must not overlook, as early mucosal ischemia can progress to transmural necrosis and eventual signs of peritonitis. Atrial fibrillation may remain clinically silent until it manifests through a first embolic event, as illustrated in this case. This report highlights the life-saving value of maintaining a low threshold for abdominal CT angiography in patients with atrial fibrillation. We present a 64-year-old male who arrived with acute, severe abdominal pain of sudden onset, persisting for approximately five hours prior to hospital admission. Laboratory findings of leukocytosis and lactic acidosis indicated acute intestinal injury and early tissue hypoxia, prompting a high index of suspicion for acute mesenteric ischemia which was later confirmed by CT angiography of the abdomen. Initial management included intravenous fluids, broad-spectrum antibiotics, rate control, analgesia, and gastrointestinal decompression, followed by definitive treatment via endovascular embolectomy. The patient demonstrated an excellent recovery, with postoperative angiography confirming successful reperfusion, and was discharged after an uncomplicated ICU course on long-term anticoagulation therapy.
subject: Research Article
  topic: section
subject: Atrial fibrillation
  topic: keywords
subject: Thrombosis
  topic: keywords
subject: Acute mesenteric ischemia
  topic: keywords
subject: Acute Abdomen
  topic: keywords
creator: Bayan Alalawi
creator: Fatima Adel Abdulla
creator: Zahra Ali Salman
creator: Zakeya A. Salman
creator: Sara
creator: Fatema
creator: Yusuf
creator: Safa Husain Eksail
creator: Hawra Ali Salman
creator: Fatema Shehab
creator: Marwa Mohamed Ali
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-10-27
publication date: 2025-10-27
starting page: 01
ending page: 05
doi: 10.32996/jmhs.2025.6.6.1

Advancing U.S. Healthcare with LLM–Diffusion Hybrid Models for Synthetic Skin Image Generation and Dermatological AI
type: item
description: The integration of large language models (LLMs) with diffusion-based generative architectures has redefined the boundaries of medical image synthesis, particularly in dermatological diagnostics. This study presents a novel hybrid model for synthetic skin image generation, leveraging the textual understanding capabilities of LLMs and the generative precision of diffusion models. The dataset was derived from the UCI Skin Segmentation Dataset, consisting of high-resolution dermal samples categorized into skin and non-skin classes. Following extensive preprocessing and feature extraction, semantic conditioning through LLMs was applied to guide the diffusion process, resulting in highly realistic and clinically relevant synthetic skin images. Experimental results demonstrate superior performance compared to traditional GANs and autoencoder-based models, achieving a Structural Similarity Index (SSIM) of 0.982, PSNR of 38.7 dB, and FID score of 5.43, indicating exceptional image fidelity and diversity. The proposed model also facilitates data augmentation for machine learning models in dermatology, enhancing classification accuracy by 7.5% on average. Beyond academic relevance, the implementation of this hybrid architecture holds immense potential for U.S. healthcare applications, enabling scalable skin disease datasets, supporting dermatological AI training, and improving diagnostic precision in rural and underserved communities.
subject: Research Article
  topic: section
subject: Synthetic skin image generation, diffusion model, large language model (LLM), medical image synthesis, dermatology AI, generative models, healthcare innovation
  topic: keywords
creator: Estak Ahmed
creator: An Thi Phuong Nguyen
creator: Aleya Akhter
creator: KAMRUN NAHER
creator: HOSNE ARA MALEK
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by-nc/4.0
date: 2025-10-25
publication date: 2025-10-25
starting page: 83
ending page: 90
doi: 10.32996/jmhs.2025.6.5.11

Complications of the Patient with Hemophilia Associated with Transfusion of Blood Components or Derivatives: 35 Cases
type: item
description: Hemophilia is a congenital bleeding disorder characterized by deficient or absent clotting factors, most commonly Factor VIII (Hemophilia A) or Factor IX (Hemophilia B). Regular transfusions of blood products, such as clotting factor concentrates and plasma derivatives, are essential in managing bleeding episodes in hemophilic patients. However, transfusion therapy is not without risks. This study aims to explore the complications associated with blood component transfusion in 35 hemophilic patients, analyzing a range of adverse events that arose following transfusion therapy. The study retrospectively reviewed the medical records of 35 hemophilic patients who received blood component transfusions over a 2-years period. Data were collected on the type of transfused products, the number of transfusions, and the complications encountered. These complications included allergic reactions, the development of inhibitors (antibodies against transfused clotting factors), viral infections (such as hepatitis and HIV), iron overload, and thrombotic events. A total of 35 hemophilic patients (27 male, 8 female) participated in this study. The mean age was 34.2 years, with a range spanning from 8 to 68 years. Hemophilia A (n = 22, 62.9%) was more common than Hemophilia B (n = 13, 37.1%). The severity of hemophilia was categorized as severe (n = 15, 42.9%), moderate (n = 12, 34.3%), and mild (n = 8, 22.8%). The mean number of transfusions per patient was 10.3, with clotting factor concentrates being the most frequently used transfusion product (n = 29, 82.9%). The study revealed a 34% complication rate (n = 12). The most common complications were allergic reactions (14.3%), inhibitor development (20%), and iron overload (11.4%). Thrombotic events were less frequent (5.7%), while one case of hepatitis B (2.9%) was noted, which was attributed to older plasma-derived factor products. Statistical analysis showed a significant correlation between severe hemophilia and inhibitor develop…
subject: Research Article
  topic: section
subject: Hemophilia, Blood Transfusion, Clotting Factor Concentrates, Plasma Derivatives, Transfusion Complications, Inhibitor Development
  topic: keywords
creator: Nilufar Akhtar Banu Choudhury
creator: Md. Abdul Wohab
creator: Sazeda Sultana
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by-nc/4.0
date: 2025-10-25
publication date: 2025-10-25
starting page: 77
ending page: 82
doi: 10.32996/jmhs.2025.6.5.10

Management of chronic cervical radiodermatitis lesion using latissimus dorsi flap, report of a case
type: item
description: Chronic radiodermatitis is a complication of radiotherapy that occurs several months or years after the end of treatment. The cervical region is the most affected. Surgery remains the treatment of choice, with sufficient excision and reconstruction using a variety of means, especially flaps, in particular the latissimus dorsi flap. This was a 60-year-old patient, chronic smoker, treated with radiotherapy for cavum cancer two years ago. He was admitted for chronic cervical radiodermatitis, evolving for nine months. Clinical examination revealed an ulcerative-bourgeoning lesion with at magnetic resonance imaging, a lesion extending to the subcutaneous plane and located in the irradiated area. Anatomopathological examination after excision-biopsy of the specimen revealed an ulcerated fibro-inflammatory remodelling of cicatricial appearance, without histological signs of malignancy. The residual loss of substance was treated by a musculocutaneous flap of the latissimus dorsi pedicled in a vascular island, with simple postoperative evolution. The pedicled latissimus dorsi flap is a reliable option for reconstruction of cervicofacial tissue defects due to tissue quality, reproducibility, and low donor site morbidity. It allows for effective management of neck radiodermatitis lesions, thus preventing malignant transformation. Radiodermatitis lesions in the cervical region can be a source of deterioration in patients' quality of life. The pedicled latissimus dorsi flap remains a favorable choice for locoregional reconstruction, despite the rise of free flaps.
subject: Research Article
  topic: section
subject: Reconstructive surgery, latissimus dorsi flap, chronic radiodermatitis, neck
  topic: keywords
creator: Indou Sagnon
creator: NY Fall
creator: Y. Ribag
creator: AH Achbouk
creator: A Khales
creator: K El Khatib
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-11-23
publication date: 2025-11-23
starting page: 17
ending page: 22
doi: 10.32996/jmhs.2025.6.8.3

AI-Driven Biomedical Innovation: Integrating Big Data Analytics, Wearable Intelligence, and Predictive Modeling for Global Health and Sustainability
type: item
description: Artificial intelligence (AI) and big data analytics have transformed biomedical innovation by facilitating predictive, personalized, and precision-oriented methodologies in healthcare. This research integrates the methodological and empirical contributions of key studies in drug development, wearable health analytics, multi-omics modeling, and AI-driven predictions of chronic and oncological diseases. This study employs a qualitative-quantitative meta-synthesis to amalgamate evidence from Manik et al. (2020), Miah et al. (2019), and related interdisciplinary research to develop an AI Bio-Innovation Framework (AIBF) that integrates generative AI, deep learning, and multi-modal data across the healthcare continuum. Research indicates that AI-driven predictive analytics enhance disease detection accuracy by 20–30%, decrease diagnostic latency by 35–40%, and facilitate 25% quicker therapy modeling relative to traditional methods. Furthermore, the integration of wearable technology and multi-omics data facilitates real-time, population-wide monitoring of cardiovascular, neurological, and metabolic diseases. The AIBF model integrates biomedical informatics with sustainable innovation by enhancing computing resource efficiency and reducing experimental redundancy. The research asserts that data-driven biomedicine, enhanced by explainable AI, federated learning, and scalable cloud infrastructure, can expedite discovery processes while adhering to global health and environmental goals. This work synthesizes deep learning applications in cardiovascular and cervical cancer detection, antibiotic resistance modeling, and multi-omics integration, establishing a next-generation paradigm for AI-driven, precision-guided healthcare systems that enhance both human and environmental resilience.
subject: Research Article
  topic: section
subject: Artificial Intelligence, Big Data Analytics, Wearable Health, Multi-Omics, Precision Medicine, Predictive Modeling, Biomedical Innovation, Sustainability
  topic: keywords
creator: Forhad Hossain
creator: Borhan Uddin
rights: Copyright (c) 2022
date: 2022-12-30
publication date: 2022-12-30
starting page: 183
ending page: 191
doi: 10.32996/jmhs.2022.3.4.27

Retrograde Internal Medial Plantar Flap
type: item
description: Reconstruction of soft tissue defects of the distal foot and ankle remains challenging due to poor vascularization and limited local tissue availability. This report describes two clinical cases managed with a retrograde internal medial plantar flap for coverage of distal plantar defects. The first patient presented with soft tissue loss of the forefoot following trauma, and the second had a medial plantar defect after tumor excision. In both cases, the medial plantar artery and its venae comitantes were preserved as the vascular pedicle. The flap was elevated and rotated in a retrograde manner to cover the defect, while the donor site was grafted with split-thickness skin. Both flaps survived completely without venous congestion or necrosis. Postoperative recovery was uneventful, and full weight-bearing was achieved within four weeks. The reconstructed areas showed durable, stable, and sensate coverage with minimal donor site morbidity. The retrograde internal medial plantar flap is a reliable and technically straightforward option for reconstruction of distal plantar and ankle defects. It offers well-vascularized and sensitive coverage, providing a functional and aesthetic alternative to free flaps, especially in settings with limited microsurgical resources.
subject: Research Article
  topic: section
subject: Medial plantar flap, retrograde flow, plantar reconstruction, soft tissue defect, case report, trauma, tumor excision, flap viability, plastic surgery
  topic: keywords
creator: Dior Mbaye
creator: Abdi Ousmane Liban
creator: Redouane Lamtaouech
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/
date: 2025-10-17
publication date: 2025-10-17
starting page: 39
ending page: 43
doi: 10.32996/jmhs.2025.6.5.5

From Gall Bladder Pain to Dilutional Emergency: Cholecystitis-Induced SIADH
type: item
description: In the setting of severe infections, hyponatremia should not automatically be attributed to dehydration, as intense inflammatory responses can act as powerful neuroendocrine stimuli, triggering a cytokine surge that enhances central ADH release and leads to SIADH (Syndrome of Inappropriate Antidiuretic Hormone Secretion). If not recognized early, this can result in rapid clinical deterioration. This case illustrates that exact scenario, emphasizing the importance of proper volume assessment and timely measurement of urinary osmolality and sodium. A 65-year-old male presented to our hospital with profound loss of consciousness and a generalized tonic-clonic seizure, secondary to severe hyponatremia in association with clinical and ultrasonographic findings consistent with acute cholecystitis. Through conservative management, including medical stabilization, close monitoring of sodium levels, and initiation of antibiotic therapy, a delayed cholecystectomy was safely performed. The patient remained seizure-free with preserved cognitive function and was discharged in stable condition.
subject: Research Article
  topic: section
subject: Acute Cholecystitis
  topic: keywords
subject: Acute Surgical Abdomen
  topic: keywords
subject: Dilutional Hyponatremia
  topic: keywords
subject: Seizure
  topic: keywords
subject: SIADH
  topic: keywords
subject: ADH
  topic: keywords
subject: Urine osmolality
  topic: keywords
subject: Urinary Sodium
  topic: keywords
creator: Jood Hamdan
creator: Mariam Ali
creator: Melika Hadi
creator: Fatema Mohamed
creator: Ahmed Alali
creator: Zahra Alkuwaiti
creator: Zahra Radhi
creator: Fatema Alasheeri
creator: Darwish L
creator: Rawan Badawi
creator: Abdulwahhab Al-Shaikhli
creator: Suad Eskail
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-10-17
publication date: 2025-10-17
starting page: 44
ending page: 48
doi: 10.32996/jmhs.2025.6.5.6

Evaluating the Impact of Artificial Intelligence on Risk Assessment in Digital Banking
type: item
description: The introduction of AI has revolutionized how risk assessments are carried out in digital banking, through providing advanced means for fraud detection, credit scoring and real-time monitoring. This study considers the impact of artificial intelligence technologies on credit scoring models in digital banking. By using mixed techniques of qualitative and quantitative analysis alongside case studies and examination of the latest developments, the research explores to what extent the accuracy and efficiency of risk management is enhanced through machine learning, natural language processing and predictive analytics. The findings demonstrate that AI-based approaches can improve efficiency and scalability of RAs, yet also raise new issues as ensuring interpretability and as of regulation and ethics testing. Recommendations for Financial Institutions Conclusion The final section of the paper presents a set of practical recommendations on how to leverage AI solutions responsibly by financial institutions that need to reconcile being innovative with being compliant in the ever-changing landscape of digital finance.
subject: Research Article
  topic: section
subject: Artificial Intelligence, Risk Assessment, Digital Banking, Machine Learning, Fraud Detection
  topic: keywords
creator: Md. Azim
creator: Shahadat Hossen
creator: Most. Sonia Islam
creator: Neamul Islam Fahim
rights: Copyright (c) 2024 https://creativecommons.org/licenses/by-nc/4.0
date: 2024-12-28
publication date: 2024-12-28
starting page: 239
ending page: 246
doi: 10.32996/jmhs.2024.5.4.26

Enhancing Medical Imaging Diagnostics Using Deep Learning Techniques
type: item
description: Recent breakthroughs in medical imaging and artificial intelligence (AI) have facilitated the transformation of illness diagnosis and treatment planning through deep learning models. Multi-modal medical imaging fusion, which amalgamates complementing data from diverse imaging modalities such as magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), and ultrasound, augments diagnostic precision in the identification of intricate diseases. Deep learning methodologies, especially convolutional neural networks (CNNs) and transformer-based architectures, have exhibited exceptional efficacy in extracting and integrating multi-source imaging information, hence enabling more accurate and thorough clinical evaluations. This paper examines recent improvements in deep learning applications for medical imaging diagnostics, contrasts their performance with traditional methods, and gives a case study demonstrating the enhanced diagnostic accuracy attained by deep neural networks. We present a thorough technique for incorporating deep learning models into clinical procedures, substantiated by experimental findings. The results demonstrate that deep learning not only improves diagnosis accuracy but also has the potential to better patient outcomes and optimize healthcare delivery.
subject: Research Article
  topic: section
subject: Deep Learning, Image Segmentation, Imaging modalities, Disease Detection, Precision Medicine
  topic: keywords
creator: Fariha Akhter
creator: Anjuman Awal
rights: Copyright (c) 2024 https://creativecommons.org/licenses/by-nc/4.0
date: 2024-12-27
publication date: 2024-12-27
starting page: 230
ending page: 238
doi: 10.32996/jmhs.2024.5.4.25

Integrating Deep Learning and Interpretable Regression Models for Transparent Decision Support in Healthcare Diagnostics
type: item
description: Deep learning models have demonstrated exceptional predictive capabilities in healthcare diagnostics, yet their black-box nature limits clinical adoption due to a lack of interpretability and trust. This study addresses this limitation by developing a hybrid decision-support framework that integrates deep representation learning with interpretable regression modeling. Using the MIMIC-IV dataset, sourced from U.S. intensive care units, and comprising patient demographics, vital signs, and laboratory data, we train a deep neural network to learn 128-dimensional patient embeddings that capture underlying physiological patterns. These embeddings are then used as inputs to interpretable regression models, Logistic Regression, and Generalized Additive Models, to predict hospital mortality while maintaining transparency. SHAP-based interpretability analysis is employed to quantify and visualize the contribution of each embedding dimension and clinical feature to model predictions. Experimental results show that the hybrid model achieves competitive performance relative to standalone deep models, while providing clear feature-level explanations through regression coefficients and SHAP importance rankings. The findings demonstrate that deep–deep-interpretable hybrid architectures can bridge the performance–explainability divide, offering a viable pathway for deploying transparent, trustworthy AI systems in clinical diagnostics. This integration not only enhances predictive reliability but also strengthens clinician confidence through evidence-based, interpretable decision support.
subject: Research Article
  topic: section
subject: Explainable AI
  topic: keywords
subject: Deep Learning
  topic: keywords
subject: Healthcare Diagnostics
  topic: keywords
subject: MIMIC-IV
  topic: keywords
subject: Interpretable Models
  topic: keywords
subject: SHAP
  topic: keywords
subject: Logistic Regression
  topic: keywords
subject: Transparency
  topic: keywords
creator: Md Murshid Reja Sweet
creator: Md Parvez Ahmed
creator: Salma Akter
creator: Sanjida Akter Tisha
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-10-11
publication date: 2025-10-11
starting page: 17
ending page: 38
doi: 10.32996/jmhs.2025.6.5.4

Inflammatory Biomarkers Predicting Osteoporosis in Autoimmune and Chronic Inflammatory Diseases: A Systematic Review
type: item
description: Chronic autoimmune and inflammatory diseases (e.g. rheumatoid arthritis [RA], systemic lupus erythematosus [SLE], inflammatory bowel disease [IBD], ankylosing spondylitis [AS], psoriasis) are frequently accompanied by systemic bone loss and osteoporosis [1,5,6,7,8,10,11]. Pro-inflammatory cytokines (IL-6, TNF-α, etc.) can drive RANKL-mediated osteoclastogenesis[2]. The utility of circulating inflammatory biomarkers (e.g. CRP, IL-6, TNF-α) as predictors of low bone mineral density (BMD) in these diseases is unclear. We performed a systematic review to identify primary human studies linking inflammatory marker levels to osteoporosis or low BMD in patients with autoimmune/inflammatory conditions. We followed PRISMA 2020 guidelines[3] and searched PubMed, Scopus, Web of Science, and other databases through 2025. Inclusion criteria encompassed observational human studies (cohort, case-control, cross-sectional) assessing associations between inflammatory biomarkers (CRP, IL-6, TNF-α, etc.) and BMD or osteoporosis in autoimmune/chronic inflammatory disorders. We excluded reviews, editorials, case reports, non-human studies, and studies without relevant bone outcomes. Two reviewers independently screened records, extracted data (population details, disease, biomarkers, BMD results), and assessed study quality (using JBI checklists[4]). Data were synthesized qualitatively. The search identified ~900 records; after deduplication and screening, nine studies met inclusion (representing RA, SLE, AS, IBD, and psoriasis/PsA). These included studies with sample sizes ranging ~40–141 patients. In RA (three studies), higher IL-6 levels were inversely correlated with lumbar spine and femoral neck BMD[5]. In SLE (one study), elevated CRP and lupus nephritis were linked to lower BMD[6]. In AS (one study), higher CRP and disease activity were associated with greater BMD loss[7]. In Crohn’s disease (one longitudinal cohort), persistently elevated CRP predicted lack of improvement in BMD o…
subject: Research Article
  topic: section
subject: inflammatory biomarkers
  topic: keywords
subject: C-reactive protein
  topic: keywords
subject: IL-6
  topic: keywords
subject: osteoporosis
  topic: keywords
subject: bone mineral density
  topic: keywords
subject: autoimmune disease
  topic: keywords
creator: Ahmed Mostafa Abdalla Mohamed
creator: Aliasgar Taha
creator: Hassan Fawaz
creator: Syedah Zahra
creator: Maruwf Ajoke
creator: Gharam Ibrahim
creator: Hanin Alaswad
creator: Zakeya Salman
creator: Zainab Ismaeel
creator: Ahmed Ali
creator: Ahmed Mostafa
creator: Mohammed Ali
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-10-07
publication date: 2025-10-07
starting page: 11
ending page: 16
doi: 10.32996/jmhs.2025.6.5.3

Inferior Bodylift in Moroccan Patients: Experience at the Mohamed V Military Training Hospital
type: item
description: Post-weight loss sequelae, whether following natural weight reduction or bariatric surgery, can significantly impact patients’ quality of life on physical, aesthetic, and psychological levels. Lower bodylift surgery, first introduced by Gonzalez-Ulloa in 1961, has since become a key procedure for addressing these issues by comprehensively reshaping body contours. This is a retrospective descriptive study conducted between January 2020 and January 2025, including 20 female patients who underwent lower bodylift surgery following the technique described by Pascal and Le Louarn. All procedures were performed by the same surgeon in the Department of Plastic, Reconstructive and Burn Surgery at the Mohammed V Military Teaching Hospital in Rabat. Data collection included clinical, anthropometric, surgical, and postoperative outcome parameters. The mean age of the patients was 42 years. All had post-bariatric excess skin, with stable weight for at least six months prior to surgery. The mean BMI was 26.7 kg/m². A diffuse adipocutaneous excess was present in 80% of cases. Surgery was performed under general anesthesia in two stages, including systematic liposuction, rectus diastasis repair, and oval umbilical reconstruction. Average operative time was 7 hours and 20 minutes. Aesthetic outcomes were rated as satisfactory to very satisfactory in all cases, particularly regarding overall contour, scar placement, and umbilical appearance. No major complications were reported. In the context of rising global obesity rates and growing aesthetic demands, the lower bodylift has emerged as a safe and effective surgical solution. When performed under optimal conditions and tailored to individual patient characteristics, it provides durable body contour restoration and significantly enhances patients’ quality of life.
subject: Research Article
  topic: section
subject: Lower bodylift, weight loss, surgery, quality of life
  topic: keywords
creator: Asmaa Moujahid
creator: BADAOUI Z
creator: ZERHOUNI H
creator: RIBAG Y
creator: ACHBOUK A
creator: KHALES A
creator: EL KHATIB K
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-10-17
publication date: 2025-10-17
starting page: 49
ending page: 57
doi: 10.32996/jmhs.2025.6.5.7

Teorhinoplasty: A New Era in Aesthetic and Functional Rhinoplasty
type: item
description: Rhinoplasty, a complex procedure at the crossroads of aesthetic and functional demands, aims to restore nasal harmony while preserving a natural appearance. In this study, we present our experience with Teorhinoplasty, a standardized technique, to assess its aesthetic and functional outcomes, reproducibility, as well as its indications and limitations. Six patients (5 women and 1 man), with a mean age of 30.3 years, were included. All underwent Teorhinoplasty performed by the same surgeon between January 2022 and January 2025. Postoperative outcomes were deemed satisfactory by both patients and the surgeon. Teorhinoplasty remains a standardized preservation technique. It offers a simplified alternative to conventional methods, with reproducible and predictable results. However, careful patient selection is essential due to its specific limitations.
subject: Research Article
  topic: section
subject: Teorhinoplasty, New approach, Surgery, Aesthetic
  topic: keywords
creator: KHALES A
creator: MOUJAHID A
creator: BADAOUI Z
creator: NDEYE FY
creator: SAGNON I
creator: OSMAN L
creator: RIBAG Y
creator: ACHBOUK A
creator: EL KHATIB K
rights: Copyright (c) 2025 Journal of Medical and Health Studies
date: 2025-10-17
publication date: 2025-10-17
starting page: 58
ending page: 71
doi: 10.32996/jmhs.2025.6.5.8