Artificial Intelligence Medical Compendium

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

Showing 691 to 700 of 234,501 articles

Immunoaffinity-enriched extracellular vesicle proteomics for high-grade serous ovarian cancer - A UKOPS nested case-control analysis.

Gynecologic oncology
OBJECTIVE: To determine whether plasma and serum extracellular vesicles (EV) are interchangeable for immunoaffinity-enriched proteomic profiling in high-grade serous ovarian cancer (HGSOC), and whether an EV protein signature improves diagnostic perf... read more 

Clinical AI in Canadian Community Hospitals: A Framework for Implementation Readiness.

Healthcare management forum
Clinical Artificial Intelligence (AI) tools are frequently developed in academic centres yet deployed in community hospitals with different workflows, staffing, and oversight. In Canada, where community hospitals constitute approximately 90% of hospi... read more 

The promise and perils of artificial intelligence in molecular biology.

Molecular cell
In this Voices article, six investigators reflect on the growing role of artificial intelligence (AI) in molecular biology research. They discuss AI's potential to accelerate discovery, enhance data analysis, and generate new hypotheses, while also h... read more 

Learning how single cells respond to perturbations.

Molecular cell
In a recent issue of Cell, Adduri et al.1 introduce State, a machine learning model that generalizes across different cellular contexts and predicts how single-cell transcriptomes respond to genetic or chemical perturbations. read more 

Beyond prediction: The evolving role of artificial intelligence in genome editing.

Molecular cell
Since the discovery of the clustered regularly interspaced short palindromic repeat (CRISPR)-associated (Cas) system, genome-editing technologies have advanced rapidly, and the field has expanded substantially. In parallel, artificial intelligence (A... read more 

Emerging frontiers for AI in single-cell genomics.

Molecular cell
We are just over a decade into the single-cell revolution in biology, which has been coupled to the growing use of artificial intelligence (AI) in single-cell genomics. Most early single-cell RNA embedding models and subsequent "foundation models"-re... read more 

Integration by parts: The multi-layered mechanisms of cis-regulatory control.

Molecular cell
Cis-regulatory elements (CREs) integrate signals from transcription factors (TFs) to control gene expression, yet mechanisms underlying this information processing remain poorly understood. Deep learning demonstrates expression is predictable from CR... read more 

Programming biological behavior with AI-guided de novo protein design.

Molecular cell
Driven by advances in artificial intelligence, de novo protein design can now generate diverse molecular functions from the ground up, achieving remarkable success in engineering binders against many macromolecular targets. Here, we provide a perspec... read more 

Cellular scaling laws in the mammalian brain.

Cell
Recent whole-brain cell atlases have uncovered a consistent cytoarchitectural feature: the greatest diversity of discrete neuronal cell types resides not in the regions with the most neurons (e.g., the cortex and cerebellum) but rather in deep subcor... read more 

NeoBridge: Biophysics-informed neoantigen prioritization and clonal architecture profiling in pancreatic cancer.

Cell genomics
Accurate identification of immunogenic neoantigens remains a bottleneck in personalized cancer vaccine development, particularly in low-mutation-burden tumors such as pancreatic ductal adenocarcinoma (PDAC). We developed NeoBridge, a hybrid ensemble ... read more