Artificial Intelligence Medical Compendium

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

Showing 53,921 to 53,930 of 225,930 articles

Modeling the inverse MEG problem in neuro-imaging using Physics Informed Neural Networks

bioRxiv Feb 5, 2026
Magnetoencephalography (MEG) forward and inverse modeling is fundamental to neuroscientific discovery, yet the inversion of partial differential equations (PDEs) remains one of the most difficult challenges due to its inherent ill-posedness. While tr... read more 
neuroscience

Hierarchical Representation Learning for Drug Mechanism-of-Action Prediction from Gene Expression Data

bioRxiv Feb 5, 2026
Deciphering drug mechanisms of action (MoAs) from transcriptional responses is key for discovery and repurposing. While recent machine learning approaches improve prediction accuracy beyond traditional similarity metrics, they often lack biological s... read more 
bioinformatics

ABFormer: A Transformer-based Model to Enhance Antibody-Drug Conjugates Activity Prediction through Contextualized Antibody-Antigen Embedding

bioRxiv Feb 5, 2026
Computational screening is increasingly becoming a crucial aspect of Antibody Drug Conjugate (ADC) research, allowing the elimination of dead ends at earlier stages and concentrating on potential candidates, which can significantly reduce the cost of... read more 
bioinformatics

Computational Convergence of Adaptive Immunity and Artificial Intelligence

bioRxiv Feb 5, 2026
The adaptive immune system and modern artificial intelligence (AI) have independently converged on identical computational strategies for solving the recognition and generalization problem: learning to identify which inputs should be associated with ... read more 
immunology

Deconvolving mutation effects on protein stability and function with disentangled protein language models

bioRxiv Feb 5, 2026
Understanding how evolutionary constraints shape protein sequences is fundamental to deciphering the molecular mechanisms underlying protein stability and function, which has broad implications in protein engineering and therapeutics development. Rec... read more 
bioinformatics

A consensus spinal cord cell type atlas across mouse, macaque, and human

bioRxiv Feb 5, 2026
The spinal cord contains evolutionarily conserved cell types critical for motor function, sensory processing, and autonomic regulation, many of which are implicated in diverse neurological diseases and injuries. Yet the field lacks a comprehensive mo... read more 
neuroscience

The Evolutionary Structure of Acoustic Learnability: A Deep Learning Approach to Neotropical Birdsong

bioRxiv Feb 5, 2026
Passive Acoustic Monitoring offers a scalable solution for biodiversity assessment in the Neotropics, but classifying hundreds of sympatric species from complex soundscapes remains a major challenge. Here, we develop a deep learning framework for lar... read more 
evolutionary biology

Virtual myocardial blood flow and flow reserve from static PET imaging using artificial intelligence

medRxiv Feb 5, 2026
Background: Quantitative myocardial blood flow (MBF) and myocardial flow reserve (MFR) provide incremental diagnostic and prognostic value in cardiac PET, but their widespread use is limited by the technical demands of dynamic imaging protocols. We e... read more 
cardiovascular medicine

Unseen Insights: An AI-Powered Exploration of Secure Patient Messages in Ophthalmology

medRxiv Feb 5, 2026
Objective To characterize the clinical and administrative concerns communicated through secure ophthalmology messaging and to assess differences in message content across patient sociodemographic groups. Design Cross-sectional study of de-identified,... read more 
health informatics

Personalised approach to hypertension treatment: Rationale and design of the HYPERMARKER randomised trial

medRxiv Feb 5, 2026
Background and Objective: Blood pressure treatment response is variable in individual patients, and the choice of medical therapy is often dependent on clinician experience. Treatment choices can be personalised by patient empowerment, metabolomic pr... read more 
cardiovascular medicine
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