Artificial Intelligence Medical Compendium

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

Showing 59,671 to 59,680 of 228,014 articles

Pupil-DLC: an open-source deep learning pipeline for scalable, markerless tracking of pupil dynamics across conscious and unconscious states

bioRxiv Jan 21, 2026
Pupil diameter provides a powerful, non-invasive biomarker of brain state, correlating with arousal, attention, cognitive processing, and level of consciousness. Despite its widespread use, pupillometry remains limited by software tools that lack sca... read more 
neuroscience

VAETracer: Mutation-Guided Lineage Reconstruction and Generational State Inference from scRNA-seq

bioRxiv Jan 21, 2026
Somatic mutations accumulate with cell division and are key to understanding tumor evolution. While single-cell RNA sequencing (scRNA-seq) can effectively capture somatic mutations in the 3' untranslated region (3' UTR), enabling its use for lineage ... read more 
bioinformatics

PocketGNN: A Cross-Modal Framework Unifying Local 3D Pocket Geometry and Global Sequence Semantics for Enzyme Kinetic Prediction

bioRxiv Jan 21, 2026
The enzyme turnover number (kcat) is a pivotal kinetic parameter for understanding biocatalytic efficiency, yet its accurate prediction remains a grand challenge due to the complex interplay between local physicochemical constraints and global evolut... read more 
bioinformatics

Pain-regulation circuitry as a predictor of chronic pain phenotypes

bioRxiv Jan 21, 2026
Background: Chronic pain is a multidimensional condition in which emotional distress, negative expectations, and functional impairment signal greater disease severity. Standard diagnostic categories often fail to capture clinically meaningful heterog... read more 
neuroscience

SigFormer: an Attention-Based Framework for Robust Single-Sample Mutational Signature Decomposition

bioRxiv Jan 21, 2026
Somatic mutational signatures imprint the history of exogenous exposures and endogenous processes on the genome, offering critical insights into pathologic etiology and disease risk. However, accurate signature decomposition at the single-sample leve... read more 
bioinformatics

Sequence models conditioned on splicing factor expression predict splicing in unseen tissues

bioRxiv Jan 21, 2026
Predicting how RNA splicing varies across tissues is important for understanding the impact of genetic variation and identifying splicing-based disease mechanisms. Although many sequence-based deep learning models have been developed to predict splic... read more 
genomics

An anatomical hotspot for striatal dopamine-acetylcholine interactions during reward and movement

bioRxiv Jan 21, 2026
Dopamine (DA) and acetylcholine (ACh) are key neuromodulators that regulate striatal circuits underlying movement and reinforcement learning. Evidence suggests that DA and ACh systems interact, but where and how interactions are expressed across stri... read more 
neuroscience

RAGulate: Retrieval-Augmented Generation for Post-hoc Literature-Grounded Regulatory Assessment

bioRxiv Jan 21, 2026
Prioritization of transcription factor (TF)-target relationships predicted by computational models for experimental validation often requires biologists to manually inspect heterogeneous and context-dependent evidence scattered across the biomedical ... read more 
bioinformatics

TPCAV: Interpreting deep learning genomics models via concept attribution

bioRxiv Jan 21, 2026
Interpreting genomics deep learning models remains challenging. Existing feature attribution methods largely focus on scoring individual bases or extracting global DNA motifs from one-hot encoded inputs, leaving them unable to assess broader genomic ... read more 
bioinformatics

Axonal theta oscillations evoke bursting in target hippocampal subregions

bioRxiv Jan 21, 2026
Local field potentials (LFPs) measured in the extracellular matrix of the brain are postulated to arise from the integration of synaptic ionic currents and spread by volume conduction. However, there is a lack of consensus on whether these spatiotemp... read more 
neuroscience
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