Artificial Intelligence Medical Compendium

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

Showing 30,501 to 30,510 of 220,100 articles

EVEE: Interpretable variant effect prediction from genomic foundation model embeddings

bioRxiv Apr 15, 2026
Predicting the clinical significance of genetic variants remains a central challenge in genomic medicine, with most observed variants classified as variants of uncertain significance. Here we show that representations from Evo~2, a 7-billion-paramete... read more 
genomics

A Hybrid Physics-Deep Learning Framework for Combinatorial De Novo Design of Small-Molecule Binding Proteins

bioRxiv Apr 15, 2026
Engineering small-molecule binding proteins de novo remains a significant challenge as even advanced generative models struggle to model the atom-level details of protein-ligand interactions with sufficient accuracy. Higher experimental success rates... read more 
bioengineering

U-Probe: universal agentic probe design for imaging-based spatial-omics

bioRxiv Apr 15, 2026
Probe design for fluorescence in situ hybridization (FISH) underpins spatial transcriptomics, three-dimensional genome studies, and clinical diagnostics, yet remains constrained by two challenges: dependence on expert knowledge for parameter selectio... read more 
bioinformatics

CROssBARv2: A Unified Computational Framework for Heterogeneous Biomedical Data Representation and LLM-Driven Exploration

bioRxiv Apr 15, 2026
Biomedical discovery is hindered by fragmented, modality-specific repositories and uneven metadata, limiting integrative analysis, accessibility, and reproducibility. To address these challenges, we present CROssBARv2, a provenance-rich biomedical da... read more 
bioinformatics

MetaMuse: A Multi-Agent AI System for Biomedical Metadata Curation and Harmonization

bioRxiv Apr 15, 2026
Inconsistent and unstructured metadata in public biomedical repositories, such as the Gene Expression Omnibus (GEO), severely limits data discoverability and research reproducibility. To address this, we introduce MetaMuse, a modular, multi-agent art... read more 
genomics

Photoacoustic Fingerprinting for Robust Molecular Imaging

bioRxiv Apr 15, 2026
Quantitative molecular imaging in photoacoustics is fundamentally limited by the ill-posed nature of spectral unmixing, where spectral overlap, noise, and unknown fluence introduce bias in conventional inversion-based methods. We introduce photoacous... read more 
biochemistry

π-MSNet: A billion-scale, AI-ready living proteomics data portal

bioRxiv Apr 15, 2026
Artificial intelligence (AI) is reshaping proteomics workflows, delivering remarkable gains in both peptide identification sensitivity and quantitative performance. However, the potential of deep learning models in proteomics has not been fully explo... read more 
bioinformatics

Testing and Estimating Causal Treatment Effect Heterogeneity in Observational Studies via Revised Deep Semiparametric Regression: A Lung Transplant Case Study

bioRxiv Apr 15, 2026
Lung transplantation programs must decide when bilateral lung transplantation (BLT) offers meaningful functional benefit over single lung transplantation (SLT). Because donor and recipient characteristics jointly shape outcomes, the BLT-SLT contrast ... read more 
bioinformatics

TRACE: End-to-end temporal inference and annotation of animal behaviors from video

bioRxiv Apr 15, 2026
Quantitative analysis of animal behavior is fundamental to neuroscience and ethology but remains constrained by the scalability, subjectivity, and limited reproducibility of manual annotation. Most automated approaches infer behavior through predefin... read more 
animal behavior and cognition

Community needs for FAIR pathogen data

bioRxiv Apr 15, 2026
Background: Datasets related to infectious diseases are essential for public health decision-making, yet their reuse remains limited by persistent barriers to data sharing and integration. Achieving data that are Findable, Accessible, Interoperable, ... read more 
scientific communication and education
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