Artificial Intelligence Medical Compendium

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

Showing 651 to 660 of 200,021 articles

Combining transcriptomic resolutions and machine learning strategies uncovers new OXPHOS genes in Caenorhabditis elegans

bioRxiv Jun 2, 2026
Assigning functions to genes remains a major challenge in biology, as a large fraction of genes remain unannotated despite the availability of complete genomes. Oxidative phosphorylation (OXPHOS), the primary source of ATP in eukaryotes, exemplifies ... read more 
bioinformatics

PepForge: Hierarchical HELM-Based Peptide Generation

bioRxiv Jun 2, 2026
Peptides carrying special connections such as macrocyclizations and various other structural modifications constitute a major class among peptide therapeutics, yet their chemical space remains largely inaccessible to computational generation methods.... read more 
bioinformatics

Category selectivity observed in the human brain is distinct from category selectivity observed in artificial neural networks

bioRxiv Jun 2, 2026
Category selectivity for images of faces, scenes, and bodies is among the most striking and reproducible findings in vision neuroscience. Artificial neural networks (ANNs) trained on visual tasks also develop category-selective units, which has led t... read more 
neuroscience

Physics-guided design of intrinsically disordered proteins

bioRxiv Jun 2, 2026
Intrinsically disordered protein regions (IDPs) are found across the tree of life and characterized by the lack of a stable 3D fold, encoding function through a vast ensemble of conformations. This plasticity makes rational design of IDPs challenging... read more 
biophysics

SNV and indel error modeling of deep targeted cell-free DNA sequencing data for sensitive detection of circulating tumor DNA in colorectal cancer

bioRxiv Jun 2, 2026
Circulating tumor DNA (ctDNA) is a promising biomarker for cancer detection, but low tumor burden makes it difficult to distinguish true signal from background noise. To aggregate and better evaluate weak mutational signals, we propose PyDREAMS, whic... read more 
bioinformatics

Equitable Health Intelligence: An Open Benchmark of Multi-Population Machine Learning for Omics-Based Cancer Prognosis

bioRxiv Jun 2, 2026
Purpose: Machine learning (ML) models for omics-based cancer prognosis are often trained on data from predominantly European-ancestry populations, producing biased predictions for other populations and undermining equitable genomic medicine. Existing... read more 
bioinformatics

Deciphering functional dark matter: Machine and deep learning-based processing of protein embeddings enables targeted function discoveries

bioRxiv Jun 2, 2026
The ever-expanding catalogue of uncharacterized proteins - the so called functional dark matter - poses a major challenge for biotechnological and biomedical exploitation. Functional assessment of most proteins is hindered by the technical limitation... read more 
bioinformatics

A Pan-Cancer Multi-Omic SuperLearner for Regulated Cell Death Survival Topologies

bioRxiv Jun 2, 2026
Introduction: Regulated cell death (RCD) pathways profoundly influence tumor progression and immune modulation. In prior work, we constructed a comprehensive database mapping 25 forms of RCD across seven multi-omic layers encompassing 33 tumor types ... read more 
bioinformatics

Bridging Ancestry Gaps in Genomic Risk Prediction with Tabular Foundation Models

bioRxiv Jun 2, 2026
Motivation: Models deployed for genomic prediction of diseases perform unevenly across populations, limiting clinical utility. Two factors drive this limitation: large imbalances in sample availability across ancestry groups and non-stationarity of g... read more 
bioinformatics

Hierarchical refinements of cis-regulatory inputs improve scalable gene expression prediction

bioRxiv Jun 2, 2026
Deciphering the relationships between cis-regulatory elements (CREs) and target gene expression has long been a challenging problem in molecular biology. However, predicting gene expression from hundreds of candidate cis-regulatory elements (cCREs) r... read more 
bioinformatics
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