Artificial Intelligence Medical Compendium

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

Showing 40,811 to 40,820 of 223,737 articles

SpeciefAI: Multi-species mRNA-level Antibody Framework Generation using Transformers

bioRxiv Mar 18, 2026
Motivation: Encoding antibodies (Abs) and nanobodies (Nbs) as mRNA enables in vivo production of therapeutic proteins. However, this approach requires meeting two species-dependent requirements: the mRNA encoding must support efficient expression in ... read more 
bioinformatics

SpatialFusion: A lightweight multimodal foundation model for pathway-informed spatial niche mapping

bioRxiv Mar 18, 2026
Foundation models enable knowledge transfer across data modalities and tasks, yet foundation models for spatial biology remain in their early stages, largely centered on encoding single-cell representations in spatial context without fully integratin... read more 
bioinformatics

InSTaPath: Integrating Spatial Transcriptomics and histoPathology Images via Multimodal Topic Learning

bioRxiv Mar 18, 2026
Spatial transcriptomic (ST) technologies enable the measurement of gene expression directly within tissue sections while preserving spatial context. Many ST platforms additionally generate paired histological images alongside spatially resolved trans... read more 
bioinformatics

Interpretable machine learning meets systems biology to decode genotype-phenotype maps

bioRxiv Mar 18, 2026
Resolving causal genes from quantitative trait loci (QTL) remains fundamentally limited by linkage disequilibrium. We developed an interpretable machine learning framework that captures higher-order nonlinear genotype-phenotype relationships and allo... read more 
systems biology

Metastable Neural Assemblies on a Wiring-Weight Continuum

bioRxiv Mar 18, 2026
Neural population activity typically evolves on low-dimensional manifolds and can be described as trajectories in attractor-like state spaces, including metastable switching among quasi-stable assembly states. Here we develop a unified definition of ... read more 
neuroscience

EEG-based classification models reveal differential neural processing of words and images

bioRxiv Mar 18, 2026
Machine learning methods employing neuroimaging data are useful for monitoring the activation of neural representations. Specifically, they can be used to discern the brain networks engaged in processing specific categories of items. This approach ha... read more 
neuroscience

From Metabolomics to Function: Ranking Plant Stem Cell Metabolomes for Use in Health and Cosmetics

bioRxiv Mar 18, 2026
Background: Plants produce diverse metabolites with potential benefits for human health. However, the metabolomes of plant callus cultures-cell cultures analogous to stem cells-remain poorly characterized in terms of their functional relevance. Metho... read more 
biochemistry

A Long-Context Generative Foundation Model Deciphers RNA Design Principles

bioRxiv Mar 18, 2026
Programmable design of RNA sequences with defined functions remains a central challenge in biology. Despite recent advances, existing RNA generative models lack robust controllable design capabilities and are constrained by short context windows, lim... read more 
molecular biology

OmniBind: Proteome-Wide Promiscuity Predictions for Early-Stage Drug Screening

bioRxiv Mar 18, 2026
Off-target binding remains a leading cause of drug attrition, yet no method exists for rapidly quantifying small-molecule promiscuity across the human proteome. Here, we define promiscuity as the mean predicted binding affinity over 15,405 human prot... read more 
molecular biology

Backwards compatibility to classical experiments grounds beta responses to naturalistic speech in temporal acoustic forecasting

bioRxiv Mar 18, 2026
Current neuroscience is shifting from simple controlled paradigms towards rich and ecologically valid naturalistic stimuli. Correspondingly, insights from historic "impoverished" artificial paradigms are considered to be seriously challenged by gener... read more 
neuroscience
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