Latest AI and machine learning research in medical education for healthcare professionals.
Emerging Knowledge Tracing (KT) models, particularly deep learning and attention-based Knowledge T...
Occlusions are a significant challenge to human pose estimation algorithms, often resulting in ina...
Medical imaging is crucial for diagnosing, monitoring, and treating medical conditions. The medica...
A high-fidelity digital simulation environment is crucial for accurately replicating physical oper...
The modeling of deposition rates in Thermal Laser Epitaxy (TLE) is essential for the accurate pred...
Recent advances in large language models (LLMs) have accelerated the development of conversational...
The application of machine learning to the study of coronal mass ejections (CMEs) and their impact...
Recent advancements in large-scale self-supervised pretraining have significantly improved molecular...
Systems neuroscience has experienced an explosion of new tools for reading and writing neural activi...
Machine learning-based protein mutational effect prediction is widely used in protein engineering an...
Center-port fixation is a common prerequisite for many freely-moving rodent tasks in neuroscience an...
The mitochondrial proton motive force (PMF) underlies ATP synthesis, metabolite transport, and energ...
Biophysical simulations have guided the development of blood oxygenation level-dependent (BOLD) func...
Here we are introducing CryoPhold, a modular workflow that unifies AlphaFold-based ensemble generati...
VCFs are the most widely used data format for encoding genetic variation. By design, standard VCFs d...
The GluN1/GluN2A N-methyl-D-aspartate receptor (NMDAR) is a critical ligand-gated ion channel in the...
Detecting mass extinction events from phylogenies is a fundamental yet challenging task. While tradi...
Post-translational modifications (PTMs) are covalent changes in proteins after biosynthesis that sha...
Deep generative models for protein structure and sequence are increasingly used to design proteins w...
Biologically-informed neural networks (BiNNs) offer interpretable deep learning models for biologica...
Musculoskeletal dynamics influence the progression and rehabilitation of many movement-related condi...