Prevention

Real-World Analysis of Organ Transplantation-Specific Agent Based on Large Language Model in Post-Transplant Self-Management During Off-Hours: A Mixed-Methods Study.

OBJECTIVE: A significant gap exists in medical support for organ transplant patients during out-of-hours (OOH). General large language models (LLMs), affected by AI hallucinations, are unsuitable for complex post-transplant care. We built the first post-transplant AI agent based on LLMs to address these issues. METHODS: We constructed a specialized "post-transplant AI agent" (named Doctor Xiao Yi)...

BHOD: a bone health optimized dietary pattern designed for osteoporosis prevention.

Existing dietary patterns were not specifically designed to target osteoporosis and lack the precision required for effective prevention. We aimed to develop a Bone Health Optimized Diet (BHOD) that is tailored to more precisely reduce the risk of osteoporosis. Using dietary data from 183,092 UK Biobank (UKB) participants, we combined food-wide association analysis with machine learning to develop...

From Speech to Sonography: Spectral Networks for Ultrasound Microstructure Classification.

The frequency dependence of backscattered radiofrequency (RF) signals produced by ultrasound scanners carries rich information related to the tissue m...

From Tradition to Future in Veterinary Public Health Education: Students' Attitudes, Anxiety and Experiences With AI-Supported Learning.

BACKGROUND: Artificial intelligence (AI) has the potential to reshape learning processes, especially through tools such as ChatGPT. OBJECTIVES: This s...

Precision Exercise for Breast Cancer-Related Outcomes: Towards Personalised Training Based on Tumour, Treatment and Patient Characteristics.

Exercise is a promising strategy associated with improved cancer-related outcomes through multiple biological mechanisms. However, current exercise gu...

Statin adherence among patients with hypertension in Swedish primary health care: a QregPV cohort study using explainable machine learning.

AIMS: Evidence regarding statin adherence among patients with hypertension in primary care is limited. We assessed statin adherence in Swedish primary...

MeLSI: Metric Learning for Statistical Inference in microbiome community composition analysis.

Microbiome beta diversity analysis relies on distance-based methods, including permutational multivariate analysis of variance (PERMANOVA) combined wi...

Bioactive Natural Products in Cardiovascular Disease: Focus on Thrombotic Events.

Bioactive compounds derived from natural products (NPs) continue to attract considerable scientific interest due to their wide range of beneficial bio...

Structured AI-Supported Assessment (SAISA): A Novel Design Integrating ChatGPT to Support Clinical Reasoning and Reflective Engagement in Veterinary Students.

The rapid emergence of generative artificial intelligence (AI) tools such as ChatGPT is reshaping higher education and challenging traditional approac...

Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non-Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial.

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary neoplasms. Complete surgical removal remains the co...

A machine learning-based analysis of chronotype and sleep quality as predictors of mental distress in university students.

This cross-sectional study aimed to investigate the combined effects of chronotype, Mediterranean diet adherence, and sleep quality on mental distress...

Myokines in exercise‑mediated bone homeostasis: Molecular signaling mechanisms and therapeutic implications for bone disorders (Review).

Skeletal muscle functions as an endocrine organ, secreting myokines that mediate interorgan communication with bone. Exercise‑induced myokines regulat...

An interpretable predictive model for depression risk in diabetic patients: A web-based application using NHANES data.

Depression is a common comorbidity in individuals with diabetes and is associated with adverse clinical outcomes. Early identification of high-risk in...

[The research progress and outlook on the effects of different exercise modalities on working memory function in middle-aged and elderly individuals].

This review provides a comprehensive analysis of the effects of different exercise modalities on working memory function in middle-aged and older adul...

Investigating the feasibility and acceptability of the TeleRehabilitation of balance clinical and economic Decision Support System (TeleRehaB DSS) in adults at risk of falls: study protocol for a multicentre clinical trial.

INTRODUCTION: Falls are a significant concern for older adults, particularly those with neurological, vestibular, cognitive and post-viral conditions,...

Serial OCT-based coronary physiology and plaque composition in vessels with nonobstructive coronary lesions following intensive lipid-lowering therapy: YELLOW III sub-study.

BACKGROUND AND AIMS: Non-obstructive coronary plaques are a major source of future coronary events, particularly when characterized by high lipid burd...

Is cellular senescence a biological feature of Long COVID? A transcriptomic analysis across comparative post-acute sequelae phenotypes.

INTRODUCTION: Cellular senescence, involving cell-cycle arrest and inflammatory factor release, may play a role in Long COVID development. We investig...

Predicting intradialytic exercise intolerance in maintenance hemodialysis patients: an interpretable machine learning approach integrating functional assessments.

Exercise intolerance, primarily manifesting as intradialytic hypotension (IDH), is common in maintenance hemodialysis patients, interrupting intervent...

Detecting and measuring respiratory events in horses during exercise with a microphone: deep learning vs. standard signal processing.

BACKGROUND: Monitoring respiration parameters such as respiratory rate could be beneficial to understand the impact of training on equine health and p...

Super learner model for predicting carotid plaque regression in type 2 diabetes on PCSK9 inhibitors.

OBJECTIVES: Evidence regarding the effects of proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors on carotid plaque regression in patient...