Artificial Intelligence Medical Compendium

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

Showing 41,931 to 41,940 of 223,853 articles

Machine learning -driven discovery of Parkinsonian-like phenotypes in idiopathic REM sleep behavior disorder.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
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Design of novel PI3Kα and PI3Kγ inhibitors for cancer treatment using pharmacophore, protein-ligand contacts, and machine learning methods.

Journal of computer-aided molecular design
Cancer is a complex disease characterised by the unregulated growth of abnormal cells. The intracellular signaling pathway, specifically phosphatidylinositol 3-kinase (PI3K)/AKT, is reported to be mutated in various cancers, including colorectal, gas... read more 

Systematic evaluation of single-cell multimodal data integration enhances cell type resolution and discovery of clinically relevant states in complex tissues.

Genome biology
BACKGROUND: The integration of multimodal single-cell data enables comprehensive organ reference atlases, yet its impact remains largely unexplored, particularly in complex tissues. Using the kidney as an emblematic example of a complex organ, we per... read more 

Comparing Neanderthal introgression maps reveals core agreement but substantial heterogeneity.

Molecular biology and evolution
Statistical methods to identify Neanderthal ancestry in modern human genomes rest on varying assumptions and inputs. Nonetheless, most studies of introgression use only a single method to define Neanderthal ancestry. Due to a lack of "ground truth," ... read more 

Robotic credentialing and simulation-based training: An institutional perspective.

Journal of minimal access surgery
INTRODUCTION: Simulation-based training has emerged as a critical tool in the acquisition of robotic surgical skills, especially in urology, where procedures are highly complex and technology-intensive. My article evaluates current simulation modalit... read more 

Combining High-Throughput Screening and In Silico Modeling to Derisk Novel Agrochemicals for Androgen Receptor Binding.

Chemical research in toxicology
Androgen receptor (AR) modulation is a critical safety concern for environmental chemicals, including agrochemicals, due to its role in endocrine disruption. Existing public data sets for AR modulation are limited in size and diversity. Here, we repo... read more