Artificial Intelligence Medical Compendium

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

Showing 31,791 to 31,800 of 220,797 articles

Integrated kidney and urine proteomics define encrypted antimicrobial peptides as effectors of host defence in human pyelonephritis

bioRxiv Apr 14, 2026
Antimicrobial peptides (AMPs) are key effectors of host defence, however, their functional deployment across renal tissue and urine in pyelonephritis (PN) remains incompletely understood. Here, we integrate kidney and urine proteomics with urinary pe... read more 
immunology

Integrating computational chemistry and machine learning to predict KRAS mutation-induced resistance

bioRxiv Apr 14, 2026
Mutation-induced drug resistance is a major contributor to the failure of targeted cancer therapies, particularly in tumors driven by mutations in the KRAS oncogene. Although covalent inhibitors effectively target KRAS G12C, secondary mutations such ... read more 
biophysics

A Machine Learning Approach for Physiological Role Prediction in Protein Contact Networks: a large-scale analysis on the human proteome

bioRxiv Apr 14, 2026
Proteins are fundamental macromolecules involved in virtually all biological processes. Their physiological roles are tightly linked to their three-dimensional structure, which can be naturally abstracted as Protein Contact Networks (PCNs), i.e., gra... read more 
bioinformatics

Explainable machine learning identifies candidate shared neuroanatomical features in Alzheimer's and Parkinson's via importance inversion transfer

bioRxiv Apr 14, 2026
Despite significant neurobiological and pathological overlaps, Alzheimer's (AD) and Parkinson's (PD)-the primary threats to healthy aging-are still managed as distinct clinical entities. Standard machine learning exacerbates this fragmentation by pri... read more 
neuroscience

Multi-Stain Fusion of Histopathology Images Using Deep Learning for Pediatric Brain Tumor Classification

bioRxiv Apr 14, 2026
The classification of pediatric brain tumors is investigated using deep learning on hematoxylin and eosin (H&E) and antigen Ki-67 (Ki-67) whole slide images (WSIs) from the Children's Brain Tumor Network (CBTN) dataset. A total of 1,662 unregistered ... read more 
pathology

Reconstructing intra-tumor fitness landscapes from scSeq CNA genotypes via simulation-based Bayesian inference and Deep Learning

bioRxiv Apr 14, 2026
Inferring the selective effects of copy-number alterations (CNAs) from clonal tumor data is essential for understanding tumor evolution. In practice, intra-tumor evolutionary parameters are typically estimated by fitting population genetic models to ... read more 
bioinformatics

A Scalable High-Density Microwell Assay for Single-Cell Clonal Expansion Profiling

bioRxiv Apr 14, 2026
Traditional clonogenic assays remain central to evaluating the self-renewal capacity of tumor cells. However, the assay relies on subjective endpoint measurements, is restricted to two-dimensional monolayer growth, and lacks the single cell resolutio... read more 
cell biology

How Generative Models Approach Molecular Conformational Sampling

bioRxiv Apr 14, 2026
Characterising equilibrium conformational ensembles with deep generative models requires assessing not only whether a model reproduces the target distribution, but also the mechanism of how it arrives here. Here we examine two distinct routes to gene... read more 
biophysics

Harnessing AI to Build Virtual Cells

bioRxiv Apr 14, 2026
A virtual cell is a world model of a cell: a computational system that predicts, simulates and programs cellular processes across modalities and scales. An important path toward this goal is to model how genetic and chemical perturbations give rise t... read more 
bioinformatics

A transcriptomics-native foundation model for universal cell representation and virtual cell synthesis

bioRxiv Apr 14, 2026
Current single-cell foundation models rely on language-model architectures that ignore transcriptomic data distributions, often underperforming specialized methods. We introduce xVERSE, a transcriptomics-native foundation model coupling batch-invaria... read more 
cell biology
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