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Journal of Medical Sciences and Interdisciplinary Research

Volume 5, Issue 2 (2025)

Cranberry Supplementation Modulates Liver Cardiometabolic and Enzymes Profiles in NAFLD: Evidence from a Randomized Trial
Downloads: 28
Views: 282
Written by Dmitry Sergeevich Volkov   Published in Vol 5 Issue 2, 2025
The present study assessed whether cranberry supplementation influences liver enzyme activity, hepatic fat content, and cardiometabolic risk parameters in patients diagnosed with non-alcoholic fatty liver disease (NAFLD). This randomized, parallel-group clinical trial included 110 individuals diagnosed with NAFLD, who were assigned to either a 144 mg cranberry supplement or a placebo for a duration of six months. The study primarily evaluated effects on liver enzymes, glycemic control, and lipid

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Global Collaboration Networks in Retinoblastoma Care: A Mixed-Methods Egocentric Network Analysis of One Retinoblastoma World
Downloads: 35
Views: 307
Written by Marlene Kristine Olsen   Published in Vol 5 Issue 2, 2025
Collaboration across countries is a cornerstone of global health research and delivery. One Retinoblastoma World (1RBW) functions as an international consortium of treatment centers providing care to children diagnosed with retinoblastoma. This study sought to quantify collaborative linkages within 1RBW, characterize their scope and form, and examine perceptions of their role in improving retinoblastoma outcomes. A cross-sectional egocentric network study using mixed methods was undertaken. All

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A Spatiotemporal Neural Network Framework for EEG-Based Emotion Recognition in Depression Assessment
Downloads: 30
Views: 426
Written by Tomas Jan Novak   Published in Vol 5 Issue 2, 2025
Depression is primarily characterized by emotional dysfunction, reflected in heightened negative emotions and diminished positive emotions. Consequently, accurate emotion recognition has become a crucial approach for assessing depression. Among the various signals employed for emotion recognition, electroencephalogram (EEG) signals have gained considerable attention due to their rich spatiotemporal information across multiple channels. In this study, EEG data were first preprocessed using filter

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Acceptability and Feasibility of a CBT-Based Mobile Application for Smoking Cessation: Evidence from a Single-Group Cohort Study in China
Downloads: 26
Views: 331
Written by Louise Margaret Turner   Published in Vol 5 Issue 2, 2025
Emerging evidence suggests that smartphone applications could support smokers in quitting. This study employed a single-group cohort design to assess both the practicality and user acceptance of a novel mobile app developed for smoking cessation in China, while also examining its effect on smoking quit rates. This study recruited 180 smokers from two mainland Chinese cities who were willing to attempt quitting. Participants engaged with a cognitive behavioral therapy (CBT)-based smoking cessatio

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Persistent Gaps in the Hypertension Care Cascade: Prevalence and Inequality among Older Adults in Mexico
Downloads: 27
Views: 352
Written by Juan Carlos Ramirez   Published in Vol 5 Issue 2, 2025
Hypertension represents the most important modifiable contributor to cardiovascular morbidity and mortality worldwide. Persistent failures in identifying, treating, and controlling elevated blood pressure reflect missed opportunities to reduce avoidable deaths. This study sought to quantify the prevalence of long-term undiagnosed, untreated, and uncontrolled hypertension among older adults in Mexico, to examine their socioeconomic distribution, and to estimate the likelihood of transitioning fro

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Malaria Incidence Dynamics in the Context of Expanded Seasonal Chemoprevention in Mali, 2016–2018
Downloads: 23
Views: 277
Written by Isabelle Claire Rochat   Published in Vol 5 Issue 2, 2025
In Mali, malaria exhibits strong seasonality, posing significant health risks to young children. To reduce this burden, Seasonal Malaria Chemoprevention (SMC) has been introduced, which entails providing monthly doses of antimalarial medication to children aged 3–59 months over a four-month period coinciding with peak malaria transmission. This study investigated changes in malaria incidence in the general population across the health districts of Kadiolo, Kati, Yorosso, Sikasso, and Tominian du

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Parental Perceptions of Home and Neighborhood Environmental Factors Associated With Accelerometer-Assessed Physical Activity among School-Aged Children in Uganda
Downloads: 31
Views: 269
Written by Francesco Luigi De Luca   Published in Vol 5 Issue 2, 2025
The positive impacts of physical activity (PA) on children's health and overall well-being are widely recognized. Nevertheless, a significant number of children fail to achieve the recommended PA levels, heightening their susceptibility to overweight, obesity, and non-communicable diseases. Features of the home and neighborhood environments may limit opportunities for children to participate in PA, yet context-specific evidence is required to develop targeted interventions in underrepresente

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Comprehensive Evaluation and Validation of an m6A-Modulated Regulatory Pathway: The Emerging circBACH2/hsa-miR-944/HNRNPC Axis in Breast Cancer Development
Downloads: 25
Views: 265
Written by Nguyen Minh Quang   Published in Vol 5 Issue 2, 2025
N6-methyladenosine (m6A) represents the most prevalent and dynamic post-transcriptional alteration on messenger RNAs in eukaryotic organisms, exerting a critical influence on the initiation and advancement of breast cancer (BC). Circular RNAs (circRNAs) have the capacity to function as oncogenic drivers or inhibitors through their role as microRNA (miRNA) decoys in BC. Nevertheless, the precise pathways by which circRNAs contribute to BC development by modulating m6A regulators are not fully elu

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Evaluating the Cost-Effectiveness of Short-Course Oral Regimens for Rifampicin-Resistant Tuberculosis
Downloads: 29
Views: 264
Written by Santiago Nicolas Alvarez   Published in Vol 5 Issue 2, 2025
Treatment options for rifampicin-resistant tuberculosis (RR-TB) remain limited, with existing regimens frequently prolonged and associated with poor tolerability. In light of emerging data from the TB-PRACTECAL trial, nations are evaluating the programmatic implementation of 6-month, fully oral regimens. A Markov model was employed to assess the incremental cost-effectiveness of three bedaquiline-, pretomanid-, and linezolid-based regimens (BPaL, with or without moxifloxacin [BPaLM] or clofazimi

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Evaluation of the Hepato-Renal Protective Activity of Ethanolic Mucuna pruriens Leaf Extract in Drug- and Chemical-Induced Toxicity in Wistar Rats
Downloads: 31
Views: 369
Written by Mariela Soledad Rivas   Published in Vol 5 Issue 2, 2025
Given the extensive folkloric use of Mucuna pruriens (L.), the present work focuses on assessing the hepatoprotective and nephroprotective efficacy of its leaf extract, with the objective of determining its therapeutic relevance in the management of kidney and liver disorders. A total of forty male albino rats were used in this experiment and randomly distributed into eight groups, each consisting of five animals. The control group (Group I) received distilled water only. Hepatotoxicity and neph

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Adherence to Face Mask Guidelines Among Polish Healthcare Professionals During the COVID-19 Pandemic: Are We Doing Enough?
Downloads: 29
Views: 631
Written by Pedro Henrique Almeida   Published in Vol 5 Issue 2, 2025
During the COVID-19 pandemic, personal protective measures such as face masks are considered crucial for reducing infection risk among both the healthcare workers and general population (HCWs), provided they are used correctly. This study aimed to evaluate whether Polish HCWs follow the 2020 World Health Organization (WHO) guidelines for proper mask use. A cross-sectional survey was conducted, with 1,156 participants responding to an online questionnaire assessing mask-related behaviors. Only 1.

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Artificial Intelligence for Real-Time Verification of the Critical View of Safety in Laparoscopic Cholecystectomy
Downloads: 22
Views: 155
Written by James O'Leary   Published in Vol 5 Issue 2, 2025
The Critical View of Safety (CVS) is the established method to minimize bile duct injury risk during Laparoscopic Cholecystectomy (LC). This investigation assessed the precision and real-world functionality of a pre-trained AI model for confirming successful CVS attainment in elective LC surgeries within an actual operating theatre environment. A deep learning neural network, earlier trained on annotated footage from 700 LC procedures to recognize CVS elements, was connected directly to the lapa

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Machine Learning–Based Multioutput Prediction of Surgery, Radiotherapy, and Chemotherapy in Breast Cancer
Downloads: 23
Views: 133
Written by Lukas Weber   Published in Vol 5 Issue 2, 2025
Breast cancer represents the leading malignancy across the globe and is characterized by a continuous rise in both incidence and mortality rates each year. This study introduces an innovative predictive framework for determining appropriate breast cancer interventions—surgery, radiotherapy, and chemotherapy—using a multi-output classifier that leverages algorithms such as CatBoost, XGBoost, NN, and NN Binary. To address the urgent requirement for reliable therapeutic guidance, the developed mode

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Explainable Machine Learning for Predicting Skin Cancer Invasiveness: Insights into Regional Heterogeneity in Brazil
Downloads: 20
Views: 194
Written by Maria Gonzales   Published in Vol 5 Issue 2, 2025
Skin cancer constitutes the most frequent neoplasm in Brazil, and its potential for invasion is shaped by several elements, among which geographical factors play a notable role. Recognizing these elements is essential for advancing diagnostic accuracy and therapeutic effectiveness. This investigation examined how geographical region influences skin cancer invasiveness in Brazil by identifying distinct predictive patterns associated with different regions. Data obtained from the Hospital Cancer R

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Multimedia-Enhanced Web-Based Education Improves Medical Record Documentation Competencies Among Medical Students
Downloads: 27
Views: 214
Written by Patrick O'Connor   Published in Vol 5 Issue 2, 2025
High-quality medical documentation is essential for delivering effective patient care, as precise and complete records help minimize medical errors and promote greater patient safety. Because medical records are central to healthcare delivery, robust training in documentation practices is indispensable. Consequently, this study was undertaken to develop and assess a web-based educational program on medical record documentation, aimed primarily at medical students in Iran (West Azerbaijan Provinc

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Modality-Efficient Deep Learning for Automated Multi-Class Segmentation of High-Grade Gliomas
Downloads: 26
Views: 227
Written by Gabriel Costa   Published in Vol 5 Issue 2, 2025
Glioma constitutes the most frequent primary malignant neoplasm of the brain. Precise delineation of glioma regions on magnetic resonance imaging (MRI) is vital for clinical treatment planning. Conventional approaches to glioma segmentation typically depend on four MRI sequences: T1, T2, T1Gd, and FLAIR. Obtaining all four sequences prolongs patient exposure to the scanner and extends the overall computational time required for segmentation. In practice, however, complete sets of these modalitie

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Evaluating a Wearable Heliometric Device for Safe Sun Exposure Promotion Among Emirati Women With Hypovitaminosis D
Downloads: 25
Views: 234
Written by Luca Ferraro   Published in Vol 5 Issue 2, 2025
Vitamin D deficiency represents a pressing public health challenge in the United Arab Emirates (UAE), with particularly high prevalence among women. Wearable technologies that promote appropriate sun exposure offer a promising way to help individuals achieve and maintain sufficient vitamin D status. This qualitative proof-of-concept study aimed to assess how Emirati women diagnosed with hypovitaminosis D perceived the usability and potential benefits of a novel heliometric device designed to enc

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