Exercise & Fitness

MRI radiomics combined with clinical features for predicting initial dose in focused ultrasound ablation surgery for uterine fibroids.

OBJECTIVE: To develop and validate a radiomics-clinical model for individualized prediction of the initial treatment dose in focused ultrasound ablation surgery (FUAS) for uterine fibroids. METHODS: This retrospective study included 210 patients with solitary uterine fibroids who underwent FUAS and were randomly divided into training and testing cohorts (7:3). The outcome variable was defined as t...

DeepPathway: Predicting Pathway Expression from Histopathology Images.

MOTIVATION: Spatial transcriptomics (ST) technologies provide spatially resolved gene expression along with image data, allowing the integrative analysis of complex tissue microenvironment. Despite their potential, the widespread adoption of ST remains limited due to high costs, and methodological challenges in data acquisition. Thus, there have been recent efforts to develop deep learning methods...

Comparison of classic statistical methods and machine learning approaches to classify readiness.

MOTIVATION: Predicting physical and cognitive readiness in warfighters is critical for mission success. These predictions can be improved by identifyi...

Distinct relationships of compartment-specific fat distribution profiles with cardiovascular ageing and future cardiovascular events.

BACKGROUND: Obesity is a major contributor to cardiovascular disease (CVD). Different fat depots may have distinct effects on cardiac ageing and cardi...

Identification and risk-factor analysis for individuals at high risk for keratoconus via machine learning and logistic regression.

PURPOSE: To evaluate keratoconus (KC) risk factors and to develop a machine-learning (ML) model for KC and myopia classification. METHODS: In this ret...

Large Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects.

OBJECTIVES: Past studies have shown that many clinical machine learning models have performance limitations due to imbalances in the training data. Fo...

ToxiVerse: chemical bioprofiling, toxicity data sharing and customizable predictive modeling.

MOTIVATION: Chemical toxicity assessment is critical for drug development and environmental safety. Computational models have emerged as a promising a...

Osteosarcopenia Revisited: From Mechanisms to Management.

Sarcopenia and osteoporosis are characterized by insufficient mass and function of skeletal muscle and bone, and often co-occur in older persons, a co...

Single-photon emission computed tomography/computed tomography-based radiomics of bone metastases for predicting epidermal growth factor receptor mutation status and targeted therapy efficacy in non-small-cell lung cancer.

BACKGROUND: This study aimed to develop a single-photon emission computed tomography/computed tomography (SPECT/CT)-based radiomics model using bone m...

Social, economic, and environmental disparities in device-measured 24-hour movement behaviours in a nationally representative cohort of older English adults.

BACKGROUND: Insufficient physical activity, excessive sedentary time, and suboptimal sleep duration (i.e., not excessively short or long) are linked t...

The Eye as a Window to Cardio-Kidney-Metabolic Disease.

The Cardiovascular-Kidney-Metabolic (CKM) syndrome reframes cardiovascular, kidney, and metabolic disease as an integrated continuum, yet its manageme...

Left Atrial Stiffness Index for Refining Diastolic Stress Test Selection in Suspected Heart Failure With Preserved Ejection Fraction.

INTRODUCTION: Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging in patients with exertional dyspnea and inconclusi...

Multidimensional Analysis of Early Adiposity Rebound Determinants in Children: Two Key "1000 Days".

OBJECTIVE: Adiposity rebound (AR), the second rise in BMI during growth, increases the risk of obesity and metabolic diseases when it occurs early. We...

Artificial intelligence-enhanced management system for secondary prevention of coronary heart disease: a randomized clinical trial.

BACKGROUND: Secondary prevention of coronary heart disease (CHD) remains suboptimal due to fragmented care and therapeutic inertia. While digital heal...

Protocol for a pilot effectiveness and feasibility randomized controlled trial of an advanced telerehabilitation system for people with multiple sclerosis (PLATINUMS project).

BACKGROUND: Multiple Sclerosis (MS) causes many different symptoms, with some of the most dominant being impaired balance and walking performance. Exe...

Computational navigation of constrained multidimensional protein fitness landscapes.

Protein engineering relies heavily on computational characterization of constrained protein fitness landscapes, in which only a limited fraction of se...

Clustering of rheumatoid arthritis patients: an unsupervised machine learning approach for characterizing the TNFi response.

This study aimed to identifydistinct profiles of response to Tumor Necrosis Factor inhibitors (TNFi) in rheumatoid arthritis (RA) patients using unsup...

How Artificial Intelligence Reshapes Clinical Decision Thresholds in Cariology: A Qualitative Study of Dentists.

Dental caries management requires iterative clinical reasoning, yet treatment thresholds and intervention pathways vary considerably among dentists de...

Advanced physics-enhanced machine learning and empirical approaches for estimating the oxygen transfer alpha factor in activated sludge.

Accurate estimation of the α0-factor, representing oxygen transfer efficiency under non-steady-state conditions, is critical for energy-efficient aera...

Systematic Review of the Relationship Between the Presence and Quality of Sidewalks and Children's Physical Health.

BACKGROUND: This systematic review synthesized existing research about associations between sidewalk availability and quality and children's physical ...