Primary Care

Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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Interpretable neural networks prioritize cancer driver genes from genome-wide dependency landscapes

Identifying cancer driver genes and their therapeutic impact remains a core challenge in computation...

CT Attenuation Map Derived Body Composition Is Associated with Cardiorespiratory Fitness in Multicenter External Validation

Aim: Exercise capacity is a powerful predictor of cardiovascular risk. In patients unable to exercis...

Use of Large Language Models by U.S. Adults to Support Exercise: A Survey Study

Background: Large Language Model (LLM) chatbots are increasingly used for exercise and fitness topic...

AttriBE: Quantifying Attribute Expressivity in Body Embeddings for Recognition and Identification

Person re-identification (ReID) systems that match individuals across images or video frames are ess...

Exploring Remote Photoplethysmography for Neonatal Pain Detection from Facial Videos

Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower w...

Spectral envelopes of facial movements predict intention, cortical representations, and neural prosthetic control

Animals, including humans, use coordinated facial movements to sample the environment, ingest nutrie...

Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction

At-home physiotherapy compliance remains critically low due to a lack of personalized supervision an...

A correlational study of ABCA3 and SCN4B as exercise-related biomarkers of patients with Stanford type A aortic dissection

Background: Accumulating evidence indicates that moderate exercise may reduce the incidence of Stanf...

Greater lean-body-mass decline with tirzepatide than semaglutide in routine care, revealed by body-composition digital phenotyping

GLP-1 receptor agonists induce substantial weight loss, but the extent to which lean tissue and phys...

Evolutionary-scale protein language models uncover beneficial variants in a Sorghum bicolor diversity panel

Quantitative genetic approaches such as genome-wide association studies and genomic prediction are w...

Stress Estimation in Elderly Oncology Patients Using Visual Wearable Representations and Multi-Instance Learning

Psychological stress is clinically relevant in cardio-oncology, yet it is typically assessed only th...

Untargeted analysis of volatile markers of post-exercise fat oxidation in exhaled breath

Breath acetone represents a promising non-invasive biomarker for monitoring fat oxidation during exe...

Benchmarking and Experimental Validation of Machine Learning Strategies for Enzyme Engineering

Enzyme-directed evolution increasingly relies on computational tools to prioritize mutations, yet th...

AINN-P1: A Compact Sequence-Only Protein Language Model Achieves Competitive Fitness Prediction on ProteinGym

Protein language models (PLMs) are increasingly central to protein engineering and drug discovery. M...

VolDiT: Controllable Volumetric Medical Image Synthesis with Diffusion Transformers

Diffusion models have become a leading approach for high-fidelity medical image synthesis. However, ...

CardioDiT: Latent Diffusion Transformers for 4D Cardiac MRI Synthesis

Latent diffusion models (LDMs) have recently achieved strong performance in 3D medical image synthes...

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