Artificial Intelligence Medical Compendium

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

Showing 58,471 to 58,480 of 227,634 articles

AI-Based Methods for Cryptic Pocket Detection Are Fast and Qualitative Compared to Quantitatively Predictive Simulations

bioRxiv Jan 23, 2026
Artificial intelligence (AI) models have advanced rapidly, driving breakthroughs in protein structure prediction, functional annotation, and conformational exploration. Among these, molecular dynamics (MD)-inspired generative models such as AlphaFlow... read more 
biophysics

Biophysically realistic network-level transport model of tau progression with exosome-mediated release and uptake processes

bioRxiv Jan 23, 2026
The spatiotemporal progression of tau aggregates in neurodegenerative diseases like Alzheimer's follows the brain's structural connectome, yet a profound gap exists between the slow macroscopic spread observed over years and the rapid protein kinetic... read more 
neuroscience

Predicting Gene Mutations in Colon Cancer Using Long-Term Temporal Dependency Learning on a Directed Co-Occurrence Asymmetry Graph

bioRxiv Jan 23, 2026
Accurate prediction of mutational dependencies to model tumor evolution can improve our understanding of cancer progression and is crucial for early diagnosis and interventions. This is especially true in colorectal tumorigenesis which often follows ... read more 
bioinformatics

Clinical and Cross-Domain Validation of an LLM-Guided, Literature-Based Gene Prioritization Framework

bioRxiv Jan 23, 2026
Background: We previously published a literature based pipeline for sepsis gene prioritization (PS3 and candidate genes) using an LLM enabled retrieval and judging framework. Here, we extend that work to ask whether these prioritized genes show indep... read more 
bioinformatics

Quantifying the oxygen preferences of bacterial communities using a metagenome-based approach

bioRxiv Jan 23, 2026
Oxygen is a primary driver of the distribution and activity of microbial life. Since oxygen levels are often difficult to measure in situ, one potential solution is to use bacteria as bioindicators of oxygen levels. As bacteria range from obligate ae... read more 
microbiology

PartiNet is a dynamic adaptive neural network for high-performance particle picking in cryo-electron microscopy

bioRxiv Jan 23, 2026
Accurate, efficient and autonomous particle picking is a major bottleneck in high-resolution cryo-electron microscopy (cryo-EM). We introduce PartiNet, an Artificial Intelligence (AI)-based particle picker with size-agnostic detection and pre-trained... read more 
molecular biology

Steering Conformational Sampling in Boltz-2 via Pair Representation Scaling

bioRxiv Jan 23, 2026
Deep learning has transformed protein structure prediction; however, most systems predominantly return a single dominant conformation with limited control over alternative states. We introduce Boltz-sample as a systematic steering strategy for Boltz-... read more 
bioinformatics

Novel universal domain-centric method for protein classification

bioRxiv Jan 23, 2026
Human protein kinases constitute a large superfamily of about 500 genes, historically classified into subfamilies based on phylogenetic relationship. However, many kinases remain unclassified. Phylogeny is typically based on multiple sequence alignme... read more 
bioinformatics

Machine learning models based on adipocyte fatty acid-binding protein help predict the chronic and lethal outcomes of patients with drug-induced liver injury.

Postgraduate medical journal Jan 23, 2026
PURPOSE: Some patients with drug-induced liver injury (DILI) would progress into chronicity or lethal. Although adipocyte fatty acid-binding protein (AFABP) is essential in liver diseases, its role in DILI is unknown. We aimed to investigate their as... read more 

Empowering the next generation: integrating artificial intelligence education into medical training.

Postgraduate medical journal Jan 23, 2026
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