Artificial Intelligence Medical Compendium

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

Showing 1,681 to 1,690 of 213,568 articles

CasanovoGUI: a cross-platform desktop application for deep learning-based de novo peptide sequencing with Casanovo

bioRxiv Jul 16, 2026
De novo peptide sequencing detects peptides directly from tandem mass spectra without a protein sequence database, and deep learning has substantially advanced its performance. Casanovo, one such widely used model, is distributed as a Python command-... read more 
bioinformatics

CAR T cell foundation model predicts immunotherapy response

bioRxiv Jul 16, 2026
Single-cell transcriptomics resolves CAR T-cell states, yet translating heterogeneous cellular signals into patient-level therapeutic response remains challenging. Existing studies primarily identify response-associated genes or cell populations thro... read more 
bioinformatics

FENNEC: photon-level deep learning for classifying bursts in diffusion-based single-molecule FRET

bioRxiv Jul 16, 2026
Single-molecule Forster resonance energy transfer (smFRET) reports on biomolecular conformational dynamics by measuring distance changes between donor and acceptor fluorophores. In diffusion-based smFRET, however, the detection of genuine conformatio... read more 
biophysics

MInt-HDX: Leveraging Hydrogen-Deuterium Exchange Mass Spectrometry and Machine-Learning to Improve Protein-Ligand Docking.

bioRxiv Jul 16, 2026
Understanding protein structural dynamics is central to elucidating biological function and guiding therapeutic discovery. Hydrogen-deuterium exchange mass spectrometry (HDX-MS) typically offers peptide-level, and sometimes residue-level, time-depend... read more 
biophysics

Neuroanatomical Subtypes of Callous-Unemotional Traits in a Community Sample of Youth

bioRxiv Jul 16, 2026
Importance. Callous Unemotional (CU) traits are associated with significant clinical and neurophysiological heterogeneity that may affect treatment effectiveness. Objective. To uncover neuroanatomical subtypes of CU traits using weakly-supervised mac... read more 
neuroscience

Genomic foundation model embeddings encode higher-order viral genome architecture beyond sequence composition: a benchmark of Evo 2

bioRxiv Jul 16, 2026
Genomic foundation models such as Evo 2 are increasingly applied to microbial genomics, yet how well their representations capture viral genome organisation, and how reliably they generate viral sequence, remain poorly characterised. We present a rep... read more 
bioinformatics

A multi-agent workflow converts CAR-T patient evidence into experimentally testable hypotheses

bioRxiv Jul 16, 2026
The rapid expansion of chimeric antigen receptor (CAR) T cell studies has produced a fragmented evidence landscape linking publications, repository accessions, patient metadata and mechanistic observations. Here we present BioPathfinder, a multi-agen... read more 
bioengineering

Machine Learning-Guided Engineering of High-Affinity Cross-Reactive Antibodies with Minimal Mutations

bioRxiv Jul 16, 2026
Antibodies raised against human targets often fail to recognize their animal orthologs, limiting preclinical evaluation in relevant models. We developed a Deep Mutational Scanning (DMS)-coupled deep learning strategy to engineer potent cross-reactive... read more 
molecular biology

Shifu: an integrated framework for deep learning of RNA secondary structure

bioRxiv Jul 16, 2026
Deep learning has advanced RNA secondary-structure prediction by bypassing explicit energy rules to capture long-range dependencies, yet progress is limited less by model scale than by how structures are measured: single scores hide where and why mod... read more 
bioinformatics

{Sigma}0-EvoCell: An AI-Native Ontology that Unifies Evolutionary and Cell Biology in Latent Space

bioRxiv Jul 16, 2026
Foundation models for biology achieve impressive pattern recognition on molecular sequences and single-cell transcriptomics, yet they fail to outperform simple linear baselines for predicting genetic perturbation effects, exposing a gap between stati... read more 
bioinformatics
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