SAR and QSAR in environmental research
May 18, 2026
Ionic liquids (ILs) are increasingly detected in various environments, raising profound concerns regarding their ecological impacts and long-term sustainability. While their tunability offers immense application potential, it concurrently introduces ... read more
The increasing frequency of castor bean or ricin-induced intoxication or terror events threatens public safety and national security, making the tracing of castor bean origins critical for law enforcement and counterterrorism efforts. Chemical attrib... read more
International journal of radiation biology
May 18, 2026
PURPOSE: Nuclear emergency medical rescue is a critical component of the nuclear emergency response system, playing a vital role in safeguarding public life and health. To address the urgent need for rapid, wide-range radiation biodosimetry in nuclea... read more
Journal of chemical information and modeling
May 18, 2026
Macrocyclic peptides are increasingly used to bridge the gap between small molecules and biologics. Their biological activity and pharmacological properties are governed by conformation, making a detailed understanding of the conformational landscape... read more
Antimicrobial resistance (AMR) constitutes a profound global health crisis, necessitating the development of unconventional therapeutic targets. Bacterial reliance on transition metals for metabolism, virulence, and survival creates a conserved, unde... read more
Oral mucoadhesive delivery is a significant strategy for drug administration due to its capacity to bypass hepatic first-pass metabolism and enhance drug bioavailability. However, the highly moist environment and frequent mechanical stresses in the m... read more
Atomically dispersed catalysts offer the merits of theoretically maximum atomic utilization and adjustable electronic properties. While the current research focuses on single-atom catalysts, new opportunities would be opened by constructing dual-atom... read more
Controlling and predicting the processing-structure-performance relationship in functional materials is a grand challenge in materials science, with important implications for a wide range of emerging applications; a high fidelity understanding of th... read more
BACKGROUND: Facial attractiveness influences social and professional perceptions, including competence and employability. With the increasing use of artificial intelligence (AI) to generate photorealistic faces, it is important to understand how thes... read more
OBJECTIVE: To develop a Machine Learning-based model to predict growth of Caucasian subjects with untreated Class III malocclusion in the short- and long-term. MATERIALS AND METHODS: A longitudinal sample of 144 Caucasian subjects with untreated Clas... 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.