Artificial Intelligence Medical Compendium

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

Showing 20,341 to 20,350 of 215,962 articles

A CBF-SA module links wound-induced evaporative cooling to tissue repair in plants

bioRxiv May 12, 2026
Repairing damaged tissues is essential for the survival of all organisms. In plants, tissue injury rapidly triggers defense and repair programs. However, the molecular mechanisms linking early injury cue to the later stages of wound repair remain unc... read more 
plant biology

Transferable Transcriptional Topic Modeling Traces Medulloblastoma Subtypes to Distinct Cerebellar Developmental States

bioRxiv May 12, 2026
Single-cell transcriptomics transformed our understanding of cellular heterogeneity, yet cross-dataset comparison remains fundamentally limited by batch effects, technology differences, and inconsistent annotation frameworks. These challenges have im... read more 
bioinformatics

Cadence: A Benchmark Evaluation of the Narrative Velocity Framework for Next Clinical Event Prediction in MIMIC-IV

bioRxiv May 11, 2026
Objective: How structured clinical features and cluster-semantic embeddings interact under self-distillation in EHR prediction models is unknown. Existing approaches treat these sources separately (gradient-boosted trees exploit tabular features whil... read more 
bioinformatics

Learning activator-inhibitor dynamics at the cell cortex with neural likelihood ratio estimation

bioRxiv May 11, 2026
A key question in cell biology is how cell-scale organization emerges from a given set of molecular players and rules of interaction. Given its multiscale nature, addressing this question requires a combination of experimental perturbation, mathemati... read more 
systems biology

BioMADE: Predicting Torsades de Pointes from molecular structures through biologically informed representations

bioRxiv May 11, 2026
Drug-induced arrhythmias, particularly Torsades de Pointes (TdP), pose a significant risk to patient safety and can sometimes have life-threatening outcomes. They remain a major concern in drug development and regulation. Machine learning (ML) has be... read more 
bioinformatics

Talk2QSP: Deriving Executable Scenarios from Unstructured Literature via Human-in-the-Loop Agents

bioRxiv May 11, 2026
Quantitative Systems Pharmacology (QSP) models play an inherently interventional role in pharmaceutical research and development, functioning as executable causal systems for designing, evaluating, and replacing clinical trials. However, deploying QS... read more 
systems biology

FiberLM: A Transformer-Based Model for Mouse Brain Diffusion MRI Tractography Guided by Viral Tracer Data

bioRxiv May 11, 2026
Diffusion MRI (dMRI) tractography provides a non-invasive method for mapping whole-brain structural connectivity. However, its application is limited by substantial false-positive and false-negative connections. While deep learning based methods have... read more 
neuroscience

3DBrainOne: an integrated end-to-end platform for 3D histological analysis of whole mouse brains

bioRxiv May 11, 2026
Three-dimensional (3D) whole-organ imaging and analysis at cellular resolution (termed 3D histology) provide profound insights into the organization and interactions of cells throughout organs. However, the quantitative analysis of these massive data... read more 
neuroscience

Predicting Discrete Structural Transformations in Small Molecules from Tandem Mass Spectrometry

bioRxiv May 11, 2026
Tandem mass spectrometry (MS/MS) fragments molecules into smaller pieces, generating spectra composed of m/z values and intensities that encode structural information for molecular annotation. With increasing mass spectrometry data acquisition speeds... read more 
bioinformatics

sxRaep: A Rapid and Accurate Enzyme Predictor for high-throughput mining of enzymatic sequences

bioRxiv May 11, 2026
Metagenomic sequencing generates petabyte-scale sequence datasets that strain both deep learning and alignment based enzyme annotation tools. A lightweight rapid and accurate filter tool is needed to identify enzymatic sequences prior to resource-int... read more 
bioinformatics
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