Results 151 to 160 of about 1,366,778 (279)

From Interferon Signature to the Clinical Landscape: Type I Interferonopathies

open access: yesArthritis &Rheumatology, Accepted Article.
Background Type I interferonopathies are heterogeneous diseases driven by dysregulated IFN‐I signaling. Diagnosis is challenging due to clinical/molecular variability and the need for IFN‐I quantification. Objective To characterize the clinical, immunological, genetic, molecular profiles of patients with suspected enhanced IFN‐I signaling, and assess ...
Ismail Yaz   +13 more
wiley   +1 more source

Keywords index

open access: yesModern Stochastics: Theory and Applications
doaj   +3 more sources

IgG Glycosylation‐Dependent CLEC7A Signaling Drives Podocyte Dysfunction in Lupus Nephritis

open access: yesArthritis &Rheumatology, Accepted Article.
Background Lupus nephritis (LN) is a severe complication of systemic lupus erythematosus (SLE) that can lead to end‐stage kidney disease and increased mortality. Immunoglobulin G (IgG) from LN patients displays abnormal glycosylation, contributing to podocyte injury.
Rohit Upadhyay   +3 more
wiley   +1 more source

SARS-CoV-2 and reproductive system: a scientometric study. [PDF]

open access: yesFront Reprod Health
Zhang L, Wang M, Zhang H, Mao G.
europepmc   +1 more source

Development of effective 3D digital models for first‐time learners of musculoskeletal anatomy

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Musculoskeletal anatomy is a critical component of allied health curricula. With the ubiquity of technology in the classroom and the recent COVID‐19 pandemic creating accessibility barriers for students, there is a need for viable digital resources to enhance learning by supplementing traditional textbook studying.
Alexander H. Safir   +2 more
wiley   +1 more source

Finding keywords for searching

open access: yes
This H5P interactive book walks the learner through defining a keywords, identifying keywords in existing literature, and developing keywords for their research ...
Punjabi, Henna, Boucher, Tricia
core  

The performance of ChatGPT and other large language models on multiple‐choice questions in biomedical disciplines: A meta‐analysis

open access: yesAnatomical Sciences Education, EarlyView.
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

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