Artificial Intelligence Medical Compendium

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

Showing 5,141 to 5,150 of 204,028 articles

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 

Revisiting CPUs for Protein Folding: Xeon-Based Acceleration of AlphaFold2

bioRxiv
Protein structure prediction via AlphaFold2 has revolutionized drug discovery, yet its end-to-end execution remains computationally intensive. While GPUs are traditionally favored for deep learning, the AlphaFold2 algorithm consists of heterogeneous ... read more 

Physical activity promotes longitudinal white matter brain adaptations that support fluid intelligence with age

bioRxiv
The aging population continues to grow, and along with it the need to better understand the unique characteristics of the aging brain. Despite the cortical thinning and myelin degeneration that occurs in later life, many individuals are resilient to ... read more 

Gap junctional coupling of molecular layer interneurons enables transient NMDA driven synchronization

bioRxiv
Molecular layer interneurons (MLIs) play a crucial role in modulating the output of the cerebellar cortex through their inhibition of Purkinje cells. MLIs also inhibit other MLIs synaptically and are coupled electrically through gap junctions. While ... read more 

Accurate Identification of Functional Residues Across the Human Proteome with TAMALE

bioRxiv
The central challenge of the post-AlphaFold era is the "functional gap". Despite having structure predictions for nearly every human protein, we remain unable to systematically distinguish residues that drive activity from those that merely maintain ... read more