Artificial Intelligence Medical Compendium

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

Showing 41,421 to 41,430 of 223,853 articles

LAMB1 regulates COL3A1 and RAC1 expression during subchorionic hemorrhage progression.

BMC biology
BACKGROUND: Subchorionic hemorrhage (SCH) is characterized by a fluid-filled hypoechoic area in early pregnancy. This study investigates how laminin subunit β1 (LAMB1) modulates type III collagen (COL3A1) and Rac family small GTPase 1 (RAC1) in SCH c... read more 

scCAPReSE: detection of large-scale genomic rearrangements from single-cell Hi-C based on few-shot learning.

Genomics & informatics
Large-scale genomic rearrangements are prevalent in cancer genomes and can profoundly rewire three-dimensional (3D) genome architecture, leading to aberrant oncogene activation through enhancer hijacking. The rewired 3D organization generates unique ... read more 

Strong Metal-Metal Interaction-Induced Encapsulation of Cobalt by Lanthanum Nitride for Efficient Ammonia Synthesis.

Journal of the American Chemical Society
Developing catalysts for ammonia synthesis under mild conditions is of paramount importance but remains a grand challenge, primarily due to the trade-off between efficient dinitrogen activation and hydrogen poisoning. Nitride-supported metal catalyst... read more 

The Utility of Artificial Intelligence in Dermatology Training and Practice: A National, Cross-Sectional Study.

The Australasian journal of dermatology
BACKGROUND/OBJECTIVES: Artificial intelligence (AI) is increasingly relevant to dermatology, yet clinical integration depends on workforce readiness. While the technical performance of AI tools is well described, the perspectives of dermatology train... read more 

Drug-likeness prioritised selection identifies anti-Escherichia coli candidates confirmed by molecular docking, dynamics simulations, and antibacterial assays.

Journal of enzyme inhibition and medicinal chemistry
To address the imbalance between antibacterial potency and developability in cephalosporin discovery against Escherichia coli, we developed a comprehensive screening strategy guided by the principle of maximum drug-likeness. An integrated evaluation ... read more 

Life events extraction from healthcare notes for veteran acute suicide risk prediction.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Predictive models of suicide risk have focused on features extracted from structured data found in electronic health records, with limited consideration of predisposing life events (LE) expressed in unstructured clinical text such as housi... read more