Analytical methods : advancing methods and applications
May 26, 2026
The proposed study is based on the development of the UV-vis spectrum of pyronaridine tetraphosphate by AI, attention-based recurrent neural networks, DFT and in-lab experiments. This novel smart method was developed using water to maintain greenness... read more
Journal of agricultural and food chemistry
May 26, 2026
Covalent organic frameworks (COFs) are an emerging class of designable porous materials that demonstrate tremendous potential for advancing food science. This Review systematically analyzes the linkage forms and synthesis strategies of COFs, focusing... read more
Chemical communications (Cambridge, England)
May 26, 2026
Machine learning (ML) establishes a new paradigm for electrocatalyst and electrolyte research by coupling high-throughput screening (HTS) with a data-driven understanding of electrochemical surfaces and interfaces. This review presents an end-to-end ... read more
European journal of cardiovascular nursing
May 26, 2026
Cluster analysis has gained increased importance with the rapid expansion of artificial intelligence (AI) and data-driven research. As a central method in unsupervised machine learning, it can reveal hidden patterns and identify homogenous subgroups ... read more
Covering: 2010 to January 2026Oleanane-type pentacyclic triterpenoids (OPTs) represent a prominent class of plant-derived natural products, widely recognized for their potent pharmacological properties, including anticancer, anti-inflammatory, and an... read more
Journal of chemical information and modeling
May 26, 2026
Leucine-rich repeat kinase 2 (LRRK2) has emerged as an attractive molecular target for Parkinson's disease therapeutics. To discover novel and potent LRRK2 inhibitors, we employed an integrated virtual screening workflow comprising a similarity searc... read more
Key thermodynamic properties of hydrocarbons are essential for process design and for reliable thermodynamic modeling. Experimental measurements are often costly or unavailable for many compounds, and prediction models are rarely further updated and ... read more
BACKGROUND: The American Society of Anesthesiologists (ASA) physical status classification remains the cornerstone of preoperative risk assessment but is limited by its subjective nature and only moderate inter-rater reliability. Artificial intellige... read more
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
May 26, 2026
Artificial intelligence (AI) is increasingly applied to biomedical research, but most current systems remain limited to specific tasks, data types, or biological scales. This makes it difficult to connect molecular alterations, organelle dysfunction,... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.