Current opinion in structural biology
Feb 15, 2026
Advances in machine-learning techniques and the availability of high-quality pKa databases have promoted the development of AI-driven pKa predictors. This review surveys recent advances in AI-driven pKa prediction for both proteins and small molecule... read more
PDA journal of pharmaceutical science and technology
Feb 15, 2026
This paper builds upon Stassen et al. (2025), "Recommendations for Artificial Intelligence Application in Continued Process Verification," to provide a detailed interpretation of the European Medicines Agency (EMA) Draft Annex 22 - Artificial Intelli... read more
Cardiovascular diseases (CVDs) remain the leading cause of death worldwide, underscoring the need for improved strategies in diagnosis, treatment, and disease modeling. Traditional in vitro models often fall short in replicating human CV physiology, ... read more
Angewandte Chemie (International ed. in English)
Feb 15, 2026
Optimizing reaction conditions in high-dimensional chemical spaces remains a central challenge in modern synthesis. In this context, we developed and evaluated a staged diversity-constrained machine learning framework that efficiently balances explor... read more
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Feb 15, 2026
Endocrine hazard assessment needs models that are accurate and mechanistically transparent. We present a multimodal cross-attentive graph framework that fuses molecular graphs with adverse-outcome-pathway (AOP)-anchored assay signals to predict organ... read more
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Feb 15, 2026
Soft bioelectronics provide a powerful platform for physiological monitoring, yet conventional hydrogel-based devices are constrained by inherent trade-offs between thickness, robustness, and multifunctionality, restricting their adaptability across ... read more
The journal of physical chemistry letters
Feb 15, 2026
Electrochemical urea synthesis offers a sustainable alternative to the energy-intensive Bosch-Meiser process but is hindered by N2 inertness and inefficient C-N bond formation. Herein, we propose a dissociative mechanism in which molecular N2 is init... read more
Metabolite metadata enrichment remains a significant challenge in metabolomics due to the limitations of static databases, incomplete metabolite coverage, and the labor-intensive nature of manual verification. Here, we present MetaboliteAnnotator, an... read more
BACKGROUND AND OBJECTIVES: The artificial intelligence (AI) field holds significant promise to revolutionize healthcare, including transfusion medicine (TM). This study explored AI use in TM, education and research among International Society of Bloo... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.