Results 151 to 160 of about 502,916 (312)
Idiopathic Intracranial Hypertension Is Characterized by a Distinct Proteomic Profile
Objectives The pathophysiology of idiopathic intracranial hypertension (IIH) is poorly understood and disease‐specific biomarkers are lacking. We aimed to shed light on IIH pathophysiology and identify disease‐specific biomarkers. Methods This prospective cross‐sectional cohort study included patients with new‐onset IIH and age‐, body mass index‐, and ...
Santosh D. Bhosale +17 more
wiley +1 more source
This review highlights the synthesis of chitosan nanoparticles from natural sources, the thorough characterization of them, and use of microscopic and spectroscopic methods. It emphasizes that it has some indispensable properties such as being non‐toxic, antimicrobial, and capable of controlled drug release.
Mariam Sohail Mansoor +6 more
wiley +1 more source
A physics‐grounded framework based on decoherence timescales (τ_dec vs τ_func), Markovian validity, and falsifiability criteria is applied across molecular systems to distinguish where quantum effects are necessary, marginal, or irrelevant. The analysis integrates quantum chemistry, biological quantum mechanisms, and quantum computing under a unified ...
Sarfaraz K. Niazi
wiley +1 more source
Objective Treatment of childhood chronic idiopathic uveitis (cCIU) is predominantly based on studies in juvenile idiopathic arthritis–associated uveitis and expert opinion. Our aim was to report the treatment outcomes of our cohort of cCIU. Methods Retrospective multicenter study involving the rheumatology and ophthalmology units at Florence, Italy ...
Ilaria Maccora +5 more
wiley +1 more source
Abstract Multimodal large language models (LLMs) are now deeply integrated into medical education and widely used by medical students, yet it remains unclear whether current models possess the accuracy and reliability needed to support image‐based learning.
Ming Lu, Josiah Cheng, Vinod Gopalan
wiley +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
Aims In medical education, the ability of large language models (LLMs) to match human performance raises questions about their potential as educational tools. This study evaluates LLMs' performance on Clinical Pharmacology and Therapeutics (CPT) exams, comparing their results to medical students and exploring their ability to identify poorly formulated
Alexandre O. Gérard +11 more
wiley +1 more source
Correction: Real-World 6-Month Treatment Outcomes of Faricimab in Turkey: The FARTURK Study. [PDF]
Çakır A +48 more
europepmc +1 more source
Cost–benefit analysis of screening programme for diabetic retinopathy in Bulgaria
Aims Late‐diagnosed diabetic retinopathy (DR) is difficult and expensive to treat. Screening programmes can identify the disease early and reduce the costs of its future treatment. This study aims to analyse the cost–benefit of screening programmes for DR.
Iva Nenkova +5 more
wiley +1 more source

