Artificial Intelligence Medical Compendium

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

Showing 1,761 to 1,770 of 200,546 articles

Keeping human in the loop: A three-phase generative AI workflow for research integrity in data-intensive science.A methodological case study using elite Ethiopian distance-running data

medRxiv
Background: Generative AI tools can support data-intensive research by writing code, drafting prose, searching analytical possibilities, and stress-testing claims. They can also produce false citations, drift between statistical specifications, and l... read more 

A Multi-Agent RAG Framework for Biomedical Literature Analysis

bioRxiv
Background: The biomedical literature is expanding at an unprecedented rate, with over 4,000 new articles indexed on PubMed each day. Clinicians and researchers frequently lack the time to review this volume before making decisions. Retrieval-Augment... read more 

MICAFlow: Fast and Robust MRI Preprocessing Bridging Research Neuroimaging and Clinical Practice

bioRxiv
MICAFlow is a fully automated MRI preprocessing pipeline designed to translate advanced neuroimaging workflows from research into routine clinical practice. The pipeline emphasizes speed, robustness, and ease of use, focusing on structural and diffus... read more 

Transcriptomics-Conditioned Virtual Tissue Synthesis via Diffusion Transformers

bioRxiv
Spatial transcriptomics couples hematoxylin and eosin (H&E) tissue morphology with spatially resolved gene expression (GE). However, generative models that exploit this coupling to synthesize tissue images from transcriptomic profiles remain scarce. ... read more 

Multiple versus pairwise sequence alignments for protein phylogenetics using foundation models

bioRxiv
Phylogenetic inference is a common task in molecular and evolutionary biology and has conventionally required a multiple sequence alignment (MSA), a statistical model of amino acid substitutions, and an optimality principle. Recently, global models o... read more 

Passive Acoustic Monitoring within the Northwest Forest Plan Area: 2025 Annual Report

bioRxiv
The Northwest Forest Plan (NWFP) Passive Acoustic Monitoring (PAM) program is a large-scale interagency biodiversity monitoring framework designed to assess the status and trends of northern spotted owls (Strix occidentalis caurina), barred owls (Str... read more 

CellExLink: End-to-end cell-type recognition and normalization in biomedical text

bioRxiv
Cell-type extraction is an important task in biomedical text mining because biomedical literature contains evidence about cell types and cell-type-related biological interactions that supports studies of disease mechanisms, therapeutic response, and ... read more 

Pansoma, a machine learning tool for identifying somatic variants using pangenome graphs

bioRxiv
Somatic variant calling, the identification of mutations in non-germline cells acquired over an individual's lifetime, is critical for studying diseases, including cancer, and for developing precision oncology strategies. Traditional somatic variant ... read more 

Design and structure of protein cages based on helical fusion and machine learning

bioRxiv
Self-assembling protein cages are versatile nanoscale architectures with broad applications in drug delivery, vaccine development, and structural biology. Historically, two main strategies have been used to construct such cages: genetic fusion of oli... read more 

ModCRE-NN: Interpretable Deep Learning Harnesses Structural and Evolutionary Synergy to Predict Transcription Factor Binding Specificity

bioRxiv
We present ModCRE-NN, a machine-learning framework and server for predicting transcription-factor (TF) DNA-binding motifs through the integration of structural and evolutionary information. The method combines structure-derived Position Weight Matric... read more