Results 151 to 160 of about 245,952 (212)
A meta-learning approach for selectivity prediction in asymmetric catalysis. [PDF]
Singh S, Hernández-Lobato JM.
europepmc +1 more source
Objective To assess the efficacy and safety of deucravacitinib, an oral, selective tyrosine kinase 2 inhibitor, in patients with psoriatic arthritis (PsA) who were naive to biologic disease‐modifying antirheumatic drugs or received tumor necrosis factor inhibitors. Methods In the 52‐week (W), double‐blind, placebo‐controlled, phase 3 POETYK PsA‐2 study
Philip J. Mease +20 more
wiley +1 more source
Explainable Meta-Learning Ensemble Framework for Predicting Insulin Dose Adjustments in Diabetic Patients: A Comparative Machine Learning Approach with SHAP-Based Clinical Interpretability. [PDF]
Guldogan E +5 more
europepmc +1 more source
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source
A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas. [PDF]
Chen Y +14 more
europepmc +1 more source
Immersive virtual reality as a teaching tool in neuroanatomy: A scoping review
Abstract Basic core courses in various undergraduate programs, such as neuroanatomy, pose a challenge for students due to the large volume and complexity of the content. In this context, educational technologies such as immersive virtual reality (IVR), which allow students to actively interact with learning materials, offer a complementary pedagogical ...
Nathálya Gardênia de Holanda Marinho Nogueira +7 more
wiley +1 more source
A Comparative Evaluation of Meta-Learning Models for Few-Shot Chest X-Ray Disease Classification. [PDF]
Quiñonez-Baca LC +5 more
europepmc +1 more source
Abstract While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple‐choice questions (MCQs) varies widely across studies, necessitating synthesis. This meta‐analysis synthesizes LLM accuracy on text‐based MCQs from biomedical disciplines and USMLE Step 1‐level content and explores ...
Colleen M. Cheverko +26 more
wiley +1 more source
Robust Inference for Federated Meta-Learning. [PDF]
Guo Z, Li X, Han L, Cai T.
europepmc +1 more source
Abstract Mixed reality (MR) using head‐mounted displays provides three‐dimensional visualizations that have been suggested to enhance learning when used alongside conventional anatomy teaching in medical education. This study explored student perceptions of the integration of MR and traditional cadaveric learning, and their optimal delivery to support ...
Harpreet Kasbia +12 more
wiley +1 more source

