Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 55,801 to 55,810 of 226,731 articles

DynaBiomeX: An Interpretable Dual-Strategy Deep Learning Framework for Architectural Noise Filtration in Sparse Longitudinal Microbiome Data

bioRxiv Feb 1, 2026
Longitudinal biomedical datasets, particularly high-resolution microbiome profiles, present unique and complex challenges arising from their extreme sparsity, prevalence of zero inflation, and inherently dynamic, nonstationary behavior. Conventional ... read more 
bioinformatics

Rectifying Stress into Structural Memory Drives Specialization in Cells and Adaptive Computational Systems

bioRxiv Feb 1, 2026
Functional specialization in continuous systems requires balancing adaptation to environmental stress with the preservation of encoded information. Yet, the physical constraints governing how living systems reconcile selective information retention w... read more 
biophysics

An AI-Native Biofoundry for Autonomous Enzyme Engineering: Integrating Active Learning with Automated Experimentation

bioRxiv Feb 1, 2026
The engineering of enzymes with novel functions is a cornerstone of synthetic biology but remains bottlenecked by the fragmentation between computational design and physical execution. While "self-driving" laboratories promise to resolve this, existi... read more 
bioengineering

Ab initio prediction of RNA structure ensembles with RNAnneal

bioRxiv Feb 1, 2026
RNA utilizes three-dimensional structure in addition to sequence to carry out diverse functions in gene expression and disease. Much like well-folded proteins, RNAs adopt specific three-dimensional structures to carry out their function. Yet comparat... read more 
biophysics

Brain neuromarkers predict self- and other-related mentalizing across adult, clinical, and developmental samples

bioRxiv Feb 1, 2026
Human social interactions rely on the ability to reflect on one's own and others' internal states and traits--a process known as mentalizing. Impaired or altered mentalizing is a hallmark of multiple psychiatric and neurodevelopmental conditions. Yet... read more 
neuroscience

Machine Learning Applications in Non-Contact Lower Limb Sports Injury Prediction: A Systematic Review.

Journal of sports science & medicine Feb 1, 2026
Non-contact Lower limb sports injuries represent some of the most prevalent and impactful conditions within athletic populations, prompting increasing interest in predictive approaches that can inform prevention and rehabilitation strategies. With it... read more 

The Role of Machine Learning in Talent Identification for Team Sports: A Systematic Review.

Journal of sports science & medicine Feb 1, 2026
Talent identification (TID) in team sports is complex, influenced by biological, technical, psychological, and socio-cultural factors. Machine learning (ML) offers tools to integrate high-dimensional data, yet its applications in youth TID remain und... read more 

ChatGPT Outperforms Personal Trainers in Answering Common Exercise Training Questions.

Journal of sports science & medicine Feb 1, 2026
Since its launch, the chatbot ChatGPT has gained significant popularity and may serve as a valuable resource for evidence-based exercise training advice. However, its capability to provide accurate and actionable exercise training information has not... read more 

Rethinking Cardiopulmonary Bypass Management in The Digital Health Era.

Mayo Clinic proceedings. Digital health Feb 1, 2026
Minimally invasive and robotic cardiac surgery have been developed to reduce surgical trauma, shorten recovery, and improve cosmetic and functional outcomes. However, these approaches often require longer cardiopulmonary bypass (CPB) and aortic cross... read more 

Generalized Radius and Integrated Codebook Transforms for Differentiable Vector Quantization

arXiv Feb 1, 2026
Vector quantization (VQ) underpins modern generative and representation models by turning continuous latents into discrete tokens. Yet hard nearest-neighbor assignments are non-differentiable and are typically optimized with heuristic straight-throug... read more 
Machine Learning
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