Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Knowledge Tracing (KT) aims to predict students' future performances based on their former exercis...
The notion of a system of interacting trajectories was recently introduced by Hermann, Gonz\'alez ...
This article introduces DT4ECG, an innovative dual-task learning framework for Electrocardiogram (...
We present a hybrid brain-machine interface (BMI) that integrates steady-state visually evoked pot...
Human Activity Recognition (HAR) is critical for applications in healthcare, fitness, and IoT, but...
The proteins that exist today have been optimized over billions of years of natural evolution, dur...
Environmental crime is the third largest criminal activity worldwide, with significant revenues co...
Electrocardiogram (ECG)-based biometrics offer a promising method for user identification, combini...
Large Language Models (LLMs) have attained human-level accuracy on medical question-answer (QA) be...
Evolution by natural selection occurs at its most basic through the change in frequencies of alleles...
Premature coronary artery disease (PCAD) refers to the early onset of the disease, usually before ...
Diabetes mellitus (DM) is a global health issue of significance that must be diagnosed as early as...
Short-reading comprehension questions help students understand text structure but lack effective f...
Exercising regularly is widely recognized as a cornerstone of health, yet the challenge of sustain...
Computational tools are frequently used to describe pathogen evolutionary dynamics either within inf...
Protein engineering holds significant promise for designing proteins with customized functions, yet ...
Iterative screening techniques, such as directed evolution, enable high-throughput affinity maturati...
Engineering enzymes for increased efficiency is key to enabling sustainable, ‘green’ biocatalytic pr...
Evolution shapes the structure and content of genomes, yet the contribution of local sequence compos...
Protein language models, and models that incorporate structure or homologous sequences, estimate seq...
Generative machine learning methods that utilize neural networks to parameterize large-scale and nea...