Artificial Intelligence Medical Compendium

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

Showing 26,791 to 26,800 of 218,283 articles

Predictive Cellular Signatures from Live Human Motor Neurons Distinguish TDP-43 ALS and Enable ALS Subtype Stratification

bioRxiv Apr 24, 2026
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by the progressive, rapid deterioration of motor neurons (MNs). Rare mutations in a handful of genes are sufficient to cause ALS; however, 90% of ALS cases are no... read more 
neuroscience

Multiscale volume electron microscopy of the human liver maps vascular-cellular architecture, organelle dynamics and inter-organelle communication

bioRxiv Apr 24, 2026
The human liver depends on multiscale structural organization from vasculature to cells to organelles to perform its diverse metabolic functions. A unified three-dimensional view linking these hierarchical scales in intact human tissue would be usefu... read more 
cell biology

Integrating Metabolic Networks into Hybrid Bioprocess Models

bioRxiv Apr 24, 2026
The optimization and control of bioprocesses require robust in silico models that can accurately capture the complex and dynamic behavior of living cells. While hybrid models that combine machine learning with mechanistic equations have emerged as a ... read more 
bioengineering

GenNA: Conditional generation of nucleotide sequences guided by natural-language annotations

bioRxiv Apr 24, 2026
Deciphering the mapping between linear biomolecular sequences and complex biological functions remains a central challenge in genomics. Although existing generative nucleotide language models have made substantial progress in modeling sequence distri... read more 
bioinformatics

CellPulse: A Foundation Model of Coordinated Gene Dynamics Simulating Viral Infectious Diseases

bioRxiv Apr 24, 2026
Understanding how cells respond to perturbations like viral infections requires models capturing coordinated gene dynamics. However, current gene expression foundation models are predominantly reliant on single-cell data and static gene expression, l... read more 
bioinformatics

SNPic: SNP Topic Modeling for Interpretable Clustering of Complex phenotypes

bioRxiv Apr 24, 2026
Genome-wide association studies (GWAS) have cataloged thousands of disease-associated variants, yet a central challenge remains: decoding the shared, pleiotropic architecture that links complex phenotypes. Existing approaches, including dimensionalit... read more 
genetics

MVCBench: A Multimodal Benchmark for Drug-induced Virtual Cell Phenotypes

bioRxiv Apr 24, 2026
Drugs induce coordinated phenotypic changes across multiple modalities, including transcriptional reprogramming and cellular morphological remodeling. Predicting these drug-induced modality changes is central to drug discovery, mechanism-of-action st... read more 
bioinformatics

Decoding Smell from Receptor Structure

bioRxiv Apr 24, 2026
Olfaction enables animals to detect and discriminate a vast array of chemicals, yet how odorant receptors (ORs) encode ligand selectivity remains unclear. Although recent advances in protein structure prediction have expanded access to OR structures,... read more 
molecular biology

A Generative AI Framework to Predict Cardiomyocyte Contraction Function from Single Static Images.

bioRxiv Apr 24, 2026
Understanding how cardiomyocyte structure governs contractile function is fundamental to cardiac biology and disease modeling, yet current approaches rely on time resolved imaging and computationally intensive analysis. Here, we present a generative ... read more 
bioengineering

Additive baselines furnish no evidence for epistasis learning by MULTI-evolve

bioRxiv Apr 24, 2026
Recent work from Tran et al. (Science, 2026) introduced MULTI-evolve, a framework for protein engineering that combines single-mutant nomination via a protein language model (PLM) or a deep mutational scan (DMS), experimental single- and double-mutan... read more 
bioinformatics
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