Obesity

A multi-modal data fusion and real-time monitoring on stroke risk prediction using federated learning.

Predicting the risk of stroke is one of the critical problems in healthcare, which necessitates efficient solutions for providing accurate and prompt risk assessments while preserving data confidentiality. This work proposes a new framework using Federated Learning (FL) to combine Multi-Layer Perceptron (MLP) and Gated Recurrent Unit (GRU) models that are essential in analyzing multimodal data. Im...

Exploring AI and ML in managing overlap between cardiovascular disease and asthma or COPD: a scoping review.

Cardiovascular disease (CVD) is a major comorbidity in asthma and chronic obstructive pulmonary disease (COPD), yet the contribution of artificial intelligence (AI) and machine learning (ML) to CVD risk assessment and management in these conditions remains insufficiently characterized. This scoping review identified the main original full-text studies applying AI/ML to the overlap between CVD and ...

Mapping whole-organism genetic comorbidities across model Species using unified ontologies.

Understanding how genetic variation contributes to organism-wide phenotypes is critical for identifying mechanisms of disease. Here, we present a comp...

Prediction of post-COVID chronic fatigue syndrome using data mining and machine learning techniques in Isfahan COVID cohort study.

BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering from COVID-19. Due to the heterogeneity of clinical...

Study on material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps.

To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps based on netwo...

Synthetic data-augmented machine learning for 30-day readmission prediction in patients with chronic conditions: a retrospective real-world study.

OBJECTIVES: To develop and evaluate an explainable machine learning framework enhanced with synthetic data generation to predict unplanned 30-day hosp...

Temporal Knowledge Discovery in Drug-Resistant Tuberculosis: A Decade-Long Machine Learning Analysis From Egyptian Clinical Data.

BACKGROUND: Advanced predictive tools are required due to the worldwide persistence of tuberculosis (TB) and the growing threat of multidrug-resistant...

Central Obesity Measured by Weight-Adjusted Waist Index Is Associated With Lean MASLD.

BACKGROUND: In individuals with normal body weight, altered fat distribution contributes to metabolic dysfunction and hepatic steatosis. We hypothesiz...

Advancing cardiovascular disease diagnosis with an interpretable and responsible AI framework.

Cardiovascular disease (CVD) remains a leading global health threat, responsible for one in five deaths worldwide. Early detection is critical to miti...

Growth curve models for weight among children up to 2 years: a scoping review.

OBJECTIVE: The aim of this scoping review was to systematically identify and map the literature on statistical and mathematical approaches used to est...

Integrative Dermatology for Longevity: The Synergy of Topical and Internal Approaches.

Skin aging reflects both intrinsic biological decline and extrinsic influences collectively known as the skin exposome, including ultraviolet (UV) rad...

Benchmarking text encoding strategies in multimodal clinical data for surgical case duration prediction.

BACKGROUND: Operating rooms (ORs) are highly resource-intensive, yet surgical case duration is often estimated using heuristics that are prone to erro...

Construction and validation of a prediction model for textbook outcome in distal cholangiocarcinoma undergoing pancreaticoduodenectomy based on six machine learning algorithms.

BACKGROUND: Textbook outcome (TO) serves as a validated composite metric for short-term surgical quality in pancreaticoduodenectomy (PD) patients. Thi...

Implementation, Acceptability, and Actions After Using an AI Workplace Health Kiosk in a Low-Resource Public School Workplace Setting: Cross-Sectional Pilot Study.

BACKGROUND: Artificial intelligence (AI)-enabled digital health kiosks are increasingly used in workplaces and communities to promote health awareness...

Machine Learning-Based Phenotypes Combined with Comorbidity Burden in Cardiogenic Shock.

Risk factors and early clinical outcomes of acute pancreatitis: A retrospective case series from Kyrgyzstan.

BACKGROUND: Acute pancreatitis (AP) is a common gastrointestinal emergency characterized by unpredictable severity. Early identification of patients a...

A Review of Vagus Nerve Stimulation for Disease: Comprehensive Theory and Evidence for Mechanisms of Action.

Vagus nerve stimulation (VNS) is an established neuromodulatory therapy approved for epilepsy, depression, obesity, stroke rehabilitation, rheumatoid ...

Development and Internal Validation of a Gradient Boosting Model for Pressure Injury Risk in the ICU.

Pressure injury (PI) is common in the ICU and not well captured by single-risk tools such as the Braden scale. We aimed to develop and internally vali...

Testosterone-Sparing Treatment Strategies for Biochemically Recurrent Prostate Cancer After Radical Prostatectomy.

PURPOSE OF REVIEW: Biochemical recurrence (BCR) after radical prostatectomy occurs in up to one-third of patients and increases the risk of metastasis...

Exploring Components and Feasibility of Health Coaching Interventions for Self-Management of Type 2 Diabetes: Protocol for a Systematic Review.

BACKGROUND: Type 2 diabetes (T2D) currently has no cure. However, extensive evidence suggests that addressing key risk factors through lifestyle chang...