Artificial Intelligence Medical Compendium

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

Showing 59,221 to 59,230 of 227,876 articles

A phylogenomic approach, combined with morphological characters gleaned via machine learning, uncovers the hybrid origin and biogeographic diversification of the plum genus

bioRxiv Jan 22, 2026
The evolutionary histories of species have been shaped by genomic, environmental, and morphological variation. Understanding the interactions among these sources of variation is critical to infer accurately the biogeographic history of lineages. Here... read more 
evolutionary biology

AMPBAN: A Deep Learning Framework Integrating Protein Sequence and Structural Features for Antimicrobial Peptide Prediction

bioRxiv Jan 22, 2026
The escalating crisis of antimicrobial resistance poses a devastating and immediate threat to human life. Antimicrobial peptides (AMPs) are a promising antibiotic substitute to combat antimicrobial resistance. Compared with the traditional wet-lab sc... read more 
bioinformatics

IMAGENE: Single-cell association of live cell imaging and gene expression profiles of non-adherent cells through photoactivatable adhesives

bioRxiv Jan 22, 2026
Live cell imaging is uniquely placed to study cell behavior as it preserves spatial context and enables non-destructive observations over time. Integrating live cell imaging and molecular phenotypes with single-cell resolution is key to uncovering th... read more 
bioengineering

ARID-sf: A physics-informed Deep Learning scoring function to improve Antibody-Antigen docking model ranking

bioRxiv Jan 22, 2026
Accurate prediction of antibody-antigen (Ab-Ag) complexation is crucial for understanding immune responses, diagnostics, and the development of therapeutic antibodies. While molecular docking generates conformations, current scoring functions struggl... read more 
bioinformatics

EpiTADformer: A Transformer-Based Model for High-Resolution TAD Boundary Detection Using Epigenomic Signal Embeddings

bioRxiv Jan 22, 2026
The human genome is partitioned at different levels of 3D genome organization, with topologically associating domains (TADs) being among the most well-known and biologically important structures. TAD boundary disruption is associated with a wide rang... read more 
bioinformatics

Time-frequency embedding with contrastive pre-training allows sub-second seizure detection

bioRxiv Jan 22, 2026
Rapid and accurate detection of electrographic seizures is critical for both clinical diagnosis and neuroscience research. Although seizure identification is commonly performed in the time domain, analysis in the time-frequency domain provides a more... read more 
neuroscience

Fast Adversarial Generation of Molecular Dynamics Trajectories with Kinetic Fidelity

bioRxiv Jan 22, 2026
Molecular dynamics (MD) simulations yield atomic-level insights into molecular motion but struggle to reach the long timescales needed for rare events due to prohibitive computational costs. Generative machine-learning models (e.g., diffusion models ... read more 
biophysics

Remote and Independent Detection of Human Stress Using Sweat and AI

bioRxiv Jan 22, 2026
Previous studies exploring human sweat ducts as biological antennas in the sub-THz range have shown that the electromagnetic (EM) response of the skin is modulated by the person's mental and physical stress. These findings naturally raised hopes of a... read more 
biophysics

I3LUNG: Clinical Validation of a Multimodal AI Tool to Support Immunotherapy Decisions in NSCLC

medRxiv Jan 22, 2026
Despite a decade of immunotherapy, treatment selection in non-small cell lung cancer (NSCLC) still relies on subgroup analyses and clinical scores. I3LUNG (NCT05537922) is currently the largest international, real-world, multimodal, artificial intell... read more 
oncology

Benchmarking LLM-based Information Extraction Tools for Medical Documents

medRxiv Jan 22, 2026
Motivation: Medical documents are a crucial resource for medical research around the world. While troves of valuable health data exist, they are largely computationally inaccessible as hard copies of unstructured text, often with degraded quality due... read more 
health informatics
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