Artificial Intelligence Medical Compendium

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

Showing 12,011 to 12,020 of 210,314 articles

Extraction of Human Phenotype Ontology (HPO) Concepts from Clinical Notes Utilizing Large Language Models (LLM) with Model Context Protocol (MCP)

medRxiv
Background: Accurate extraction of Human Phenotype Ontology (HPO) terms from clinical notes is essential for variant prioritization and genetic diagnosis. Large language models (LLMs) often struggle to balance precision, hallucination avoidance, and ... read more 

SpatialClaw: A Memory-Augmented Autonomous Ecosystem for Spatial Omics Analysis

bioRxiv
While the expansion of spatial omics has revolutionized our ability to dissect tissue architecture, the accumulation of incompatible computational methods has heavily fragmented end-to-end analysis, rendering complex workflows irreproducible. Generic... read more 

Carbon: Decoding the Language of Life

bioRxiv
Genomic foundation models have emerged alongside the rapid progress of large language models, offering a promising framework for learning general-purpose sequence priors for DNA understanding, generation, and design. This connection to LLMs creates a... read more 

Biomineralized Surface-Enhanced Raman Scattering Nanotags Encode Biomolecular Identity into Machine Learning-Resolvable Plasmonic Fingerprints

bioRxiv
Surface-enhanced Raman scattering (SERS) nanotags provide highly sensitive platforms for in vitro diagnostics but often require complex, disease-specific customization that limits clinical translation. Biomineralization, in which biomolecules mediate... read more 

Interpreting the WaveSeekerNet model to reveal the evolution and biology of influenza A virus

bioRxiv
Background Influenza A virus (IAV) is a major public health burden, causing seasonal epidemics and occasional pandemics. Its transmission from avian species to mammals and subsequent spread requires adaptive changes in the viral genome. Understanding... read more 

Chromatin accessibility of primary cancers informs regional mutagenesis in metastases through multi-scale deep learning

bioRxiv
Tissue-specific chromatin states shape regional mutation density in primary tumors, but whether this relationship persists in metastases is unclear. We integrated whole-genome sequencing data from 2,507 metastatic tumors across six cancer types with ... read more 

Genomic Diagnostics for Drug-Resistant Mycobacterium tuberculosis: Computational Prediction of Antimicrobial Resistance

bioRxiv
Tuberculosis remains a leading cause of infectious disease mortality, and the continued emergence of drug-resistant Mycobacterium tuberculosis strains threatens the effectiveness of standard treatment regimens. Culture-based antibiotic susceptibility... read more 

Spatio-temporal machine learning for multi-horizon prediction of bluetongue outbreaks

bioRxiv
Reliable early warning of infectious disease outbreaks remains a major challenge for surveillance systems, particularly for vector-borne pathogens whose transmission depends on interactions among hosts, vectors, and climate-sensitive environmental co... read more 

A machine learning framework for interpreting phylogenetic tree patterns in interkingdom horizontal gene transfer

bioRxiv
Horizontal gene transfer (HGT), the movement of genetic material between unrelated organisms, is widely recognized as an important driver of genome evolution in bacteria. In eukaryotes, however, the evolutionary impact of HGT remains debated. The ide... read more 

Genos-m: a foundation model for human-associated microbial genomes

bioRxiv
Human-associated microbial genomes encode extensive strain-level diversity and niche-specific gene repertoires that are critical to host health. However, these complex sequence features remain difficult to capture using general-purpose DNA foundation... read more