Artificial Intelligence Medical Compendium

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

Showing 19,021 to 19,030 of 214,800 articles

A multi-omic, spatial, and whole-slide image dataset of lung neuroendocrine tumours from the lungNENomics cohort

bioRxiv May 14, 2026
Lung neuroendocrine tumours (lung NETs) are rare neoplasms comprising approximately 2% of lung cancers. Recent studies have identified distinct molecular groups based on transcriptome and methylome data, but genomic and morphological features remain ... read more 
bioinformatics

Plasmatic immune extracellular vesicle profiles identify prodromal and early stages of Parkinson's disease

bioRxiv May 14, 2026
Extracellular vesicles (EVs) hold promise as minimally invasive biomarkers for neurodegenerative proteinopathies, but disease- and stage-specific profiles remain unclear. For this study, we enrolled 378 participants across five centers and the MJFF-B... read more 
neuroscience

Smartphone Placement Recognition during Walking: Performance Determinants and Real-World Generalizability

bioRxiv May 14, 2026
The opportunity to collect movement data from smartphones for prolonged periods has opened new perspectives in the field of clinical movement analysis. However, when monitoring peoples mobility in free-living conditions, smartphone placement can infl... read more 
bioengineering

Pathogen-specific host responses define distinct pneumonia endotypes in the human lung

bioRxiv May 14, 2026
Pneumonia is the leading cause of death from infectious disease worldwide. The diagnosis and treatment of patients with pneumonia lag behind other major conditions, relying on syndromic definitions that lack molecular resolution and ignore underlying... read more 
immunology

Classic machine learning on top of multiple position weight matrices improves genomic prediction of transcription factor binding sites

bioRxiv May 14, 2026
Motivation: DNA motifs recognised by transcription factors are typically represented as position weight matrices (PWMs), assuming independent contributions of individual nucleotides to protein binding specificity. Many alternative models accounting f... read more 
bioinformatics

Explainable prediction and simulation of complex system dynamics through networks of manifolds

bioRxiv May 14, 2026
Complex systems such as brains and other interacting biological and physical processes are difficult to represent because they evolve across many variables, scales, and nonlinear interactions. To capture these multivariate, multiscale interactions we... read more 
neuroscience

Pathway-Centric Integration of CRISPR Fitness with Molecular Features Draws Cancer State Maps

bioRxiv May 14, 2026
Cancer cells display heterogeneous pathway activity that shapes therapeutic vulnerability, but mapping it remains challenging. Transcriptomic scores do not directly measure functional activity, and CRISPR knockout data alone lack molecular interpreta... read more 
cancer biology

BiomniBench: Process-level Evaluation of LLM Agents for Real-world Biomedical Research

bioRxiv May 14, 2026
LLM agents now perform real biomedical research, but evaluating them rigorously is hard. Outcome-only benchmarks fail in two ways. First, a correct final answer can come from memorization, reward hacking, or wrong reasoning that produces the right nu... read more 
bioinformatics

LOCOPOTS: a low-cost high-throughput screening platform for in vitro potato phenotyping under abiotic stress

bioRxiv May 14, 2026
Potato crop is highly vulnerable to abiotic stresses like salinity and low nutrient availability. Rapid identification of stress-resilient genotypes is therefore essential for breeding, yet conventional phenotyping is often slow, space-demanding and ... read more 
plant biology

Segmentation and profile-based classification of movement strategies from animal tracking data

bioRxiv May 14, 2026
1. Classifying animal movement strategies from GPS tracking data is essential for understanding space use, population dynamics and conservation planning. However, existing approaches either require strong parametric assumptions about trajectory shape... read more 
ecology
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