Prevention

A round-robin exercise for the precise prediction of aqueous solubility of organic chemicals using chemometric, machine learning, and stacking ensemble of deep learning models.

Aqueous solubility is an important property for assessing the druggability and ecotoxicological effects of molecules. Successful drug candidates should have optimal aqueous solubility to improve bioavailability to target tissues. To effectively screen molecules in a short period of time, reliable predictive models are highly useful. In the present study, we conducted a round-robin exercise using a...

Revisiting satisfaction with life: A hybrid study based on linear models and machine learning.

PURPOSE: Based on the Health Action Process Approach (HAPA) theory, this study examines how Health Literacy is associated with Satisfaction with Life among Chinese university students via Exercise Adherence and Rest Intolerance, from a combined perspective of linear models and machine learning. It aims to identify factors associated with university students' Satisfaction with Life within the conte...

A quarter-century of progress: innovations in lipid medicine that transformed cardiovascular prevention.

This TimeCapsule reviews the major transformations in lipid metabolism and cardiovascular disease prevention during the first quarter of the 21st cent...

Artificial intelligence as a clinical tool builder: Development and early implementation of an artificial intelligence-assisted hand therapy exercise application.

Physical activity level and its determinants in patients with cancer: a secondary analysis using a decision-tree approach.

PURPOSE: Low physical activity is associated with poorer outcomes in patients with cancer. Understanding the determinants of physical activity is esse...

Smartwatch-derived exercise metrics as predictors of early hypertension: a prospective observational study.

BACKGROUND: Early identification of individuals at risk for hypertension is essential for effective cardiovascular disease. Physiological and activity...

Large Language Model-Based Identification of Acute Coronary Syndrome Management Delays.

Acute coronary syndrome (ACS) requires prompt treatment, yet management delays are difficult to identify. In this study, we developed a large language...

First-trimester multi-modal cell-free DNA analysis for prediction of preterm and term preeclampsia.

BACKGROUND: Preeclampsia, which is a leading cause of maternal and perinatal mortality and morbidity, represents a biologically heterogeneous syndrome...

Can AI chatbots effectively respond inquiries for patients with Pulmonary Arterial Hypertension about exercise and physical activity: A comparative study of three chatbots.

OBJECTIVE: The utilization of artificial intelligence-based chatbots in the healthcare field is increasingly prevalent. Nonetheless, the quality of re...

A Flexible Wireless Passive Platform for Decoupled Electrolyte and Temperature Sensing Toward Heat‑Stress Assessment.

Strenuous exercise and heat exposure can significantly elevate core body temperature and induce profuse sweating, leading to dehydration, electrolyte ...

Structural damage assessment in the spine of patients with axial spondyloarthritis - results from an international OMERACT multi-reader exercise using MRI-based synthetic CT.

OBJECTIVE: To develop and perform preliminary cross-sectional validation of a magnetic resonance imaging (MRI)-based outcome measure for assessing spi...

PMB-NN: Physiology-centered hybrid AI for personalized hemodynamic monitoring from photoplethysmography.

BACKGROUND AND OBJECTIVE: Continuous monitoring of blood pressure (BP) and hemodynamic parameters such as peripheral resistance (R) and arterial compl...

Multi-omics analysis identifies CD48 and ITIH5 as potential diagnostic biomarkers and therapeutic targets for metabolic disorders associated with obesity.

BACKGROUND: Obesity-driven metabolic disorders involve pathological remodeling of white adipose tissue (WAT), wherein fibroblasts coordinate fibrosis ...

VAV3 is associated with atherosclerosis and ox-LDL-induced endothelial dysfunctional remodeling.

BACKGROUND: Atherosclerosis is a major cause of ischemic stroke and is characterized by complex immune-metabolic dysregulation. VAV3, a Rho guanine nu...

Symptom burden in dialysis patients: determinants and impact on mortality.

BACKGROUND: Symptom burden in chronic kidney disease (CKD) patients has a negative impact on functional status and quality of life. Despite the high p...

Longitudinal serum uric acid transition patterns and their clinical, genetic, and dietary determinants: prospective prediction of incident hyperuricemia and gout in a Korean population-based cohort.

BACKGROUND: Longitudinal serum uric acid (SUA) transition patterns and their clinical, genetic, and dietary determinants remain poorly characterized. ...

Image-based consensus molecular subtypes and colon cancer recurrence: Understanding the impact of lifestyle factors across subtypes of colon cancer.

AIM: We investigated associations between consensus molecular subtype (CMS) and colon cancer recurrence, and explored how the inflammatory potential o...

Development of an artificial intelligence prediction model for moderate-to-severe COPD exacerbations using continuous multiple unobtrusive sensors: protocol of a multicentre prospective observational study.

INTRODUCTION: Exacerbations, impaired health-related quality of life (HRQoL) and reduced exercise capacity increase the risk of hospitalisations and d...

Plant-based diet quality and risk of age-related eye diseases: evidence from multi-cohorts with multi-omics insights.

Plant-based diets may influence age-related eye diseases (AREDs), but whether ocular benefits depend on diet quality remains unclear. We examined asso...

A systematic review of molecular signaling in the muscle-brain-gut axis: exercise-induced myokines and microbial metabolites as key mediators.

Exercise physiology is evolving from an organ-based framework toward a systems-level understanding, where molecular interactions between muscle, brain...