Artificial Intelligence Medical Compendium

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

Showing 51,941 to 51,950 of 225,279 articles

Recent advances in pretreatment technologies for the analysis of per- and polyfluoroalkyl substances.

Analytical and bioanalytical chemistry
Per- and polyfluoroalkyl substances (PFASs) are persistent pollutants with shifting pollution characteristics toward short-chain and structurally diverse variants, posing great challenges for precise analysis. Pretreatment, as a rate-limiting step, l... read more 

Bioinformatics approach to identifying molecular targets of Danlou tablet against atherosclerosis: a machine learning pharmacology study.

Naunyn-Schmiedeberg's archives of pharmacology
This research aims to identify novel molecular targets and generate mechanistic hypotheses for Danlou Tablet (DLT) in the treatment of atherosclerosis (AS) using an integrative computational framework combining network pharmacology, bioinformatics, s... read more 

The landscape of artificial intelligence tools and platforms for evidence synthesis: a scoping review.

Systematic reviews
Evidence synthesis (ES) involves rigorous, reproducible methodologies, which are increasingly being presented as 'Living' systematic reviews. As such, ES are critical to evidence-informed decision-making processes, such as the development, implementa... read more 

Hitchhikers Guide To Training More General Machine Learning Potentials in Heterogeneous Catalysis.

Journal of chemical theory and computation
Machine learning potentials (MLPs) have emerged as powerful simulation tools for heterogeneous catalysis. While current MD-active-learning workflows excel at fitting a specific system/reaction pathway through iterative structural sampling, the transi... read more 

Photoswitches for ion channel regulation: expanding the scope of phototherapy through computational chemistry.

Physical chemistry chemical physics : PCCP
The development of ion channel phototherapy using azobenzene-based photoswitchable molecules represents a promising strategy for the precise modulation of ion channels in therapeutic applications, aiming to treat diseases such as epilepsy, long QT sy... read more