Artificial Intelligence Medical Compendium

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

Showing 57,201 to 57,210 of 227,153 articles

Machine Learning Ensemble Reveals Distinct Molecular Pathways of Retinal Damage in Spaceflown Mice

bioRxiv Jan 29, 2026
Spaceflight-associated neuro-ocular syndrome (SANS) threatens astronaut health during long-duration missions, yet its molecular pathology remains unclear. Two physiological pathways exist: one attributes SANS to microgravity-induced cephalic fluid sh... read more 
bioinformatics

Circuit-Specific Resting-State fMRI Signatures for Stratifying First-Episode Major Depressive Disorder and Predicting Recurrence Risk

bioRxiv Jan 29, 2026
Background: Depression is biologically heterogeneous, and first-episode depression (FED) carries a high risk of recurrence that is poorly captured by symptom-based assessment. Early identification of patients likely to relapse, as well as reliable id... read more 
neuroscience

A human-in-the-loop explanation framework for morphologically transparent AI predictions from whole-slide images

bioRxiv Jan 29, 2026
Deep learning models enable the prediction of clinical endpoints from whole-slide images (WSIs), but many such models function as "black boxes", lacking transparency about whether and which histomorphological patterns drive their predictions, hinderi... read more 
pathology

Gene-centered representation of coding and regulatory variation enables outcome prediction

bioRxiv Jan 29, 2026
Integrating coding and regulatory variation into unified, interpretable representations remains a challenge in functional genomics. Current approaches either focus on common variants or analyze individual variants in isolation, missing the cumulative... read more 
genomics

An Advanced Humanized Systemic Lupus Erythematosus Model Enables Parallel Profiling of B Cell-Targeted Therapies

bioRxiv Jan 29, 2026
B cell-targeted therapies represent a transformative frontier for systemic lupus erythematosus (SLE) intervention, yet clinical recommendation of specific treatment is hampered by the challenge to perform head-to-head comparisons of efficacy-toxicity... read more 
immunology

Artemis: Harnessing Knowledge Graphs for Next-Generation Drug Target Prioritization

bioRxiv Jan 29, 2026
Knowledge graphs (KGs) have become an important asset in biomedical research and drug discovery by enabling the structured integration of heterogeneous biological knowledge. When combined with machine learning (ML), KGs support the identification of ... read more 
bioinformatics

Functional In-Context Learning in Genomic Language Models with Nucleotide-Level Supervision and Genome Compression

bioRxiv Jan 29, 2026
Genomic foundation models aim to learn general-purpose representations directly from DNA sequence, enabling sequence understanding, generation, and probabilistic reasoning across a wide range of biological tasks. Scaling such models to genomic length... read more 
genomics

miRNA-mRNA Interaction Network Analysis in Alzheimer's Disease for Biomarker Discovery

bioRxiv Jan 29, 2026
Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by widespread dysregulation of gene expression and regulatory pathways. MicroRNAs (miRNAs) act as key post-transcriptional regulators by modulating messenger RNAs (mRNAs),... read more 
bioinformatics

LSD Reconfigures Cortical Dynamics Through Faster Brain Rhythms and Increased Fractal Dimension

bioRxiv Jan 29, 2026
Lysergic acid diethylamide (LSD) profoundly alters conscious experience, yet the electrophysiological mechanisms by which it reshapes neural dynamics remain incompletely understood. A hallmark of psychedelic states is widespread cortical desynchroniz... read more 
neuroscience

An Artificial Intelligence-based framework for protein interaction design with accelerated KAN-based Positive-Unlabeled learning

bioRxiv Jan 29, 2026
Protein design seeks optimal amino acid sequences for target structures, but designing stable protein complexes remains challenging. We introduce a protein interaction design pipeline combining Monte-Carlo simulation with Metropolis-criteria (MCM) an... read more 
bioinformatics
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