Artificial Intelligence Medical Compendium

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

Showing 45,081 to 45,090 of 224,055 articles

iGS: A Zero-Code Dual-Engine Graphical Software for Polygenic Trait Prediction

bioRxiv Mar 3, 2026
Genomic selection (GS) has become the core driving force in modern plant and animal breeding. However , state-of-the-art comprehensive GS tools often rely on complex underlying environment configurations and command-line operations, posing significan... read more 
bioinformatics

h5adify: neuro-symbolic metadata harmonizationenables scalable AnnData integration with locallarge language models

bioRxiv Mar 3, 2026
Background: The rapid growth of public single-cell and spatial transcriptomics repositories has shifted the main bottleneck for atlas-scale integration from data generation to metadata heterogeneity. Even when datasets are released in the AnnData H5A... read more 
bioinformatics

Brain Transcriptomics Across Diverse Sleep-Wake Manipulations Reveals Multiple Homeostatic Pathways in Drosophila

bioRxiv Mar 3, 2026
Sleep is governed by two processes: a circadian process that times sleep and wake and a homeostatic process that drives sleep as a function of prior wake history. Discovered in the fruit fly Drosophila, the period (per) gene is a universal cornerston... read more 
neuroscience

Improved prediction of virus-human protein-protein interactions by incorporating network topology and viral molecular mimicry

bioRxiv Mar 3, 2026
The protein-protein interactions (PPIs) between viruses and human play crucial roles in viral infections. Although numerous computational approaches have been proposed for predicting virus-human PPIs, their performances remain suboptimal and may be o... read more 
bioinformatics

LLPSight: enhancing prediction of LLPS-driving proteins using machine learning and protein Language Models

bioRxiv Mar 3, 2026
In eukaryotic cells, essential functions are often confined within organelles enclosed by lipid membranes. Increasing evidence, however, highlights the role of membrane-less organelles (MLOs), formed through liquid-liquid phase separation (LLPS). MLO... read more 
bioinformatics

Evaluating Few-Shot Meta-Learning using STUNT for Microbiome-Based Disease Classification

bioRxiv Mar 3, 2026
The human gut microbiome is increasingly explored as a diagnostic indicator for disease, yet machine learning models trained on metagenomic data are often constrained by limited sample sizes and poor cross-cohort generalizability. Meta-learning, a ma... read more 
bioinformatics

Partial Differential Equation (PDE) Based Spatial Pharmacometrics in NONMEM: Method of Lines (MOL) Implementation With AI-Assisted Model Development

bioRxiv Mar 3, 2026
Spatial heterogeneity in drug distribution, particularly within solid tumors, can compromise target engagement and drive therapeutic failure in oncology, yet it is rarely represented in population pharmacokinetic (PopPK) analyses. Standard empirical ... read more 
pharmacology and toxicology

Developmental and genetic modulation of evidence integration dynamics in zebrafish sensorimotor decision-making

bioRxiv Mar 3, 2026
Animals integrate information over time and maintain persistent internal representations of cues to guide decision-making. How the underlying behavioral algorithms of individual animals depend on factors such as experience, developmental stage, or ge... read more 
neuroscience

Behavioral hierarchy without a hierarchical brain

bioRxiv Mar 3, 2026
Behavior is inherently hierarchical. The prevailing view holds that hierarchical behavior arises from the brain's hierarchical organization. However, this view is primarily derived from experiments in highly controlled laboratory settings, and it rem... read more 
neuroscience

Minimal biophysical rules are sufficient for the emergence of computational intelligence at the neuronal scale

bioRxiv Mar 3, 2026
How intelligence emerges from the brain's complex microscopic physical system is a central question for neuroscience and artificial intelligence. Constrained by the genomic bottleneck that precludes synapse-by-synapse specification, we propose and va... read more 
neuroscience
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