Artificial Intelligence Medical Compendium

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

Showing 2,111 to 2,120 of 235,116 articles

Benchmarking single-cell foundation models reveals an advantage in the low-data regime for cell-type and disease-state prediction

bioRxiv
Single-cell foundation models perform well on cell-type classification, but their value for disease-state prediction and their advantage over classical representations remains unclear. We benchmarked cell-representations from four foundation models u... read more 

Characterisation of Genetically-Derived Patient Clusters Highlights Genetic Heterogeneity of Inflammatory Bowel Disease

bioRxiv
Background and aims. Inflammatory Bowel Disease (IBD) is a complex immune-mediated condition with a strong genetic contribution. The genetics of IBD are highly complex, with inflammation, autoimmunity, and mucosal immunity pathways involved in its pa... read more 

CLEAR-FORCE: A reservoir computing framework for closed-loop brain stimulation

bioRxiv
Electrical stimulation of brain activity has emerged as a key therapeutic intervention for neurological diseases. The success of these approaches relies on precisely tuned stimulation parameters. A major challenge is that these parameters should idea... read more 

Beyond the Final Layer: Evaluating Single-Cell Foundation Model Representations for Molecular Prediction

bioRxiv
Single-cell foundation models (scFMs) are commonly benchmarked using final-layer embeddings, although useful depth may depend on the task. We evaluate Geneformer, scBERT, scGPT, and scFoundation as frozen feature extractors for cell-type and perturba... read more 

Reformulating Protein Corona Prediction as Universal Protein-conditioned Learning

bioRxiv
When nanoparticles enter biological environments, their surfaces are rapidly coated by proteins, forming a protein corona that governs their biological identity and downstream responses. Existing computational methods treat each protein as an indepen... read more 

Coordinated Enhancement of Molecular and Spatial Fidelity for Biological Inference in Spatial Transcriptomics

bioRxiv
Understanding tissue organization requires accurate molecular quantification and faithful spatial localization. Spatial omics, particularly spatial transcriptomics (ST), face measurement trade-offs that limit simultaneous achievement of molecular and... read more 

Artificial intelligence (AI)-enabled RNA therapeutic design: from molecular optimization to system-level evaluation.

British journal of pharmacology
RNA therapeutics are increasingly moving from empirical screening towards rational, computation-guided design. Recent advances in RNA language models, generative models and structure-aware learning have improved sequence representation, candidate gen... read more 

The Neural Symphony in the Periodontium: Health, Inflammation, and Regeneration.

Journal of dental research
Periodontal nerves, comprising sensory, sympathetic, and parasympathetic fibers, are essential components of the periodontium. Beyond their classic sensory and proprioceptive functions, these neural networks actively modulate periodontal immune respo... read more 

FAMUS: A Few-Shot Learning Framework for Large-Scale Protein Annotation.

Bioinformatics (Oxford, England)
MOTIVATION: Gene function prediction is pivotal in genomic and metagenomic data analysis. Current annotation tools typically rely on the most similar sequence from the query database and struggle to robustly set meaningful hit thresholds, causing a m... read more