Exercise & Fitness

Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer Risk.

BACKGROUND: Family history of pancreatic cancer (PC), pathogenic germline variants (PGVs), and increased intrapancreatic fat (IPF) are individually associated with increased PC risk. Whether IPF is elevated in high-risk individuals (HRIs) with PC family history or PGVs is unknown. Although MRI is the preferred modality for IPF measurement, region-of-interest-based approaches are prone to sampling ...

Humanoid Colleagues and the Rheumatology Workforce: Preparing for a New Era.

Rheumatology faces sustained workforce strain, widening access gaps, and escalating administrative burden. Fellowship expansion and integration of advanced practice clinicians remain essential, but existing strategies alone are unlikely to meet projected demand. Meanwhile, artificial intelligence (AI) is increasingly embedded in clinical medicine, and physically embodied, general-purpose humanoid ...

Elevated pro-BNP and low-grade inflammation are associated with low bone mineral density in systemic sclerosis, a case control study.

BACKGROUND: Bone mineral density (BMD) is compromised in patients with systemic sclerosis (SSc) compared to the background population, yet the underly...

Semi-supervised Retrieval of Functional Residues Through the Integration of Protein Language Models and Gene Ontology Data.

MOTIVATION: Experimental studies of protein function often focus on mechanistic descriptions, characterizing how specific sites and residues contribut...

Transforming tai ji quan into next-generation, evidence-based exercise medicine: A translational roadmap for falls prevention.

A substantial body of research provides compelling evidence that tai ji quan, a mind-body exercise rooted in traditional Chinese medicine, is effectiv...

Waist-to-Height Ratio Reveals Hidden Metabolic Risk in Lean Individuals with MASLD.

BACKGROUND: Lean metabolic dysfunction-associated steatotic liver disease (MASLD) can be overlooked in adults with a normal body mass index (BMI). We ...

Identification of comorbidity-based clusters and mortality risk in hospitalised patients with diabetes mellitus in Karachi, Pakistan: a machine learning analysis.

BACKGROUND: Diabetes has reached epidemic proportions in Pakistan. This study applied machine learning (ML) techniques to identify comorbidity-based a...

Deep Learning Algorithm-Reconstructed Triple-Rule-Out CT: Image Quality and Performance in Evaluating Coronary Lumen Stenosis.

To assess radiation burden and contrast medium load, image quality, and the performance of AI-reader and junior radiologists in evaluating coronary st...

Design of peptides with non-canonical amino acids using flow matching.

MOTIVATION: The canonical vocabulary of twenty amino acids limits the chemical space available to proteins and peptides. Expanding this vocabulary to ...

Clinical and Metabolomic Panel for Noninvasive Screening of Biopsy-Confirmed MASH in Children and Adolescents.

BACKGROUND & AIMS: Noninvasive tests to identify pediatric metabolic dysfunction-associated steatohepatitis (MASH) remain a critical need. We aimed to...

Intrarenal pressure monitoring in retrograde intrarenal surgery for high-infectious risk populations.

PURPOSE: To evaluate the feasibility of real-time intrarenal pressure (IRP) monitoring using the LithoVue™ Elite (LVE) ureteroscope and assess postope...

Ai-based multimodal analysis of ECG and clinical data for evaluation for competitive sports participation: The VALETUDO trial.

AIMS: Pre-participation cardiovascular screening (PPS) is essential for preventing SCD in athletes, yet ECG interpretation requires expertise and rema...

Pooled two-cohort MRI body composition phenotyping with open-source deep learning.

BACKGROUND: Body mass index fails to capture variation in fat and muscle distribution that determines metabolic health and disease risk. MRI enables r...

Revealing the Link Between Critical Thinking Disposition and Learning Approaches: A Cross-Sectional Study Among Chinese Medical Students.

This study aimed to explore the association between medical students' critical thinking (CT) disposition and learning approach (LA), to provide novel ...

Personalized evaluation of NT-proBNP and clinical characteristics in suspected heart failure: the PRECISE-HF study.

BACKGROUND AND AIMS: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is recommended to guide echocardiography referral in community-based patien...

Development of a machine learning prediction model for overactive bladder in female nurses: the NURS study.

PURPOSE: To develop and internally validate interpretable machine-learning models for identifying individuals with a higher probability of overactive ...

Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy.

BACKGROUND: The triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride glucose-body mass (TyG-BMI) index are reliable ...

Latent profiles of generative artificial intelligence use among Chinese college students: Associations with depression and anxiety.

BACKGROUND: While generative artificial intelligence (GenAI) has been rapidly adopted by college students, its relationship with mental health remains...

Predictive Models of Pregnancy Based on Male Partner Data From a Preconception Cohort Study.

BACKGROUND: Male factors contribute to approximately 50% of couple infertility, yet few studies have used machine learning with comprehensive male par...

Deformation-Adaptive Hybrid Triboelectric-Piezoelectric Nanogenerator for Wearable Muscle Monitoring and Human-Machine Interaction.

Wearable systems for real-time and long-term musculoskeletal monitoring are increasingly required as shoulder-neck disorders and upper-arm injuries be...