Results 141 to 150 of about 239,825 (303)
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
Prevalence, Behaviors, and Factors of Over-the-counter Aspirin Use in Hong Kong
Introduction: Aspirin can be used for cardiovascular disease prevention and analgesic use. Prevalence of over-the-counter (OTC) aspirin use remained unknown in Hong Kong.
Amy S. M. Lam +4 more
doaj +1 more source
Byron Cryer,1 Kenneth W Mahaffey2 1University of Texas Southwestern Medical School, Dallas, TX, 2Department of Medicine, Stanford University, Stanford, CA, USA Abstract: Peptic ulcer disease is a major cause of morbidity and mortality in the US with ...
Mahaffey KW, Cryer B
core
following aspirin treatment in aspirin‐resistant but not aspirin‐sensitive subjects
AIMSAspirin is widely used as an anti-platelet agent for cardiovascular prophylaxis. Despite aspirin treatment, many patients experience recurrent thrombotic events, and aspirin resistance may contribute to this.
Timothy Goodman +19 more
core +1 more source
Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch +6 more
wiley +1 more source
Fatma Abd Elhalim Mahmoud,1,2 Khalid S Hashem,3 Asmaa Mohammed M Hussein Elkelawy21Medical Pharmacology Department, Faculty of Medicine, Cairo University, Giza, 2Clinical Pharmacology Department, Faculty of Medicine, 3Biochemistry Department, Faculty of ...
Hussein Elkelawy AM +2 more
core
Precise characterization of n‐type organic semiconductors necessitates decoupling interfacial constraints from intrinsic charge transport. This work reveals that disordered polymers are particularly vulnerable to contact‐limited bottlenecks compared to their crystalline counterparts.
Walid Boukhili +15 more
wiley +1 more source
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin +9 more
wiley +1 more source

