Results 181 to 190 of about 22,944,294 (221)

Studies on obesity-related atrial fibrillation in the past 20 years: A bibliometric analysis via CiteSpace and VOSviewer. [PDF]

Medicine (Baltimore)
Du B, Yao J, Niu Y, Yuan C, Luan Y, Zhang X, Song Y, Hu Y, Li J.   +8 more
europepmc   +1 more source

MDL‐800‐induced SIRT6 activation decreases age‐associated osteoarthritis in mice

Arthritis &Rheumatology, Accepted Article.
Objective SIRT6 is a nuclear‐localized histone deacetylase that regulates multiple pathways associated with aging. This study aimed to determine whether systemic administration of a small molecule activator of SIRT6, MDL‐800, decreases the severity of age‐associated osteoarthritis (OA) in mice.
Matheus Moreira Perez, Pranay Ramteke, Bahiyah Watson, Owen Haslam, Eirene Choi, Susan Chubinskaya, Mandy J. Peffers, William R. Davis, Jacqueline Shine, Brian O. Diekman, Richard F. Loeser, Theresa A. Freeman, Makarand V. Risbud, John A. Collins   +13 more
wiley   +1 more source

The research landscape of ferroptosis in ischemic stroke: a bibliometric analysis of the literature from 2017 to 2025 based on the WOS and PubMed databases. [PDF]

Front Cell Neurosci
Tang H, Zhang Y, Zhang M, Hu J, Wang L, Li S, Pu Y, Bai X.   +7 more
europepmc   +1 more source

Exploring the potential of cluster analysis in identifying disease phenotypes in CPPD: Moving from intuition to insight

Arthritis &Rheumatology, Accepted Article.
Background Calcium pyrophosphate deposition (CPPD) disease is a heterogeneous condition and is frequently misdiagnosed due to the different clinical presentations and variable disease progression. Aim of this study is to identify clinical phenotypes of CPPD disease by integrating real‐world data from two datasets. Methods Data from the COLCHICORT trial
Greta Pellegrino, Laurène Norberciak, Silvia Sirotti, Abhishek Abhishek, Mariano Andrès, Edoardo Cipolletta, Julien Damart, Renaud Desbarbieux, Pilar Diez, Vincent Ducoulombier, Hang‐Korng Ea, Emilio Filippucci, Charlotte Jauffret, Augustin Latourte, Jean‐Guillaume Letarouilly, Sébastien Ottaviani, Laura Pezzoni, Pascal Richette, Pierre Robinet, Georgios Filippou, Tristan Pascart   +20 more
wiley   +1 more source

Artificial intelligence and tobacco use: A bibliometric analysis 1997-2026. [PDF]

Tob Induc Dis
Wang S, Zhang J, Chen L.
europepmc   +1 more source

Ritualized reflection in human dissection: Liminality, ethical negotiation, and professional identity formation among South Korean medical students

Anatomical Sciences Education, EarlyView.
Abstract Human dissection is a foundational component of medical education, yet it places students in profound ethical tension between scientific objectification and respect for human dignity. While prior studies have documented students' emotional responses, the structural transformation of their moral narratives over time, particularly within non ...
Jun‐Ki Lee, Hyoungtae Kim, Hyo Hyun Yoo   +2 more
wiley   +1 more source

Global development of bispecific antibodies in oncology: a bibliometric analysis of geographic disparities, collaborative models, and emerging translational strategies. [PDF]

Front Immunol
Zhai X, Rong Z, Fu L, Gu Y, Dong B, Yao D, Pang X, Cui Y.   +7 more
europepmc   +1 more source

A survey on the teaching of introductory nervous system content in undergraduate courses

Anatomical Sciences Education, EarlyView.
Abstract Teaching introductory or foundation level concepts about anatomy and physiology of the nervous system to undergraduate students presents a conundrum for educators—how to provide students with sufficient knowledge for a successful learning experience and outcome without overwhelming students and impacting student progression and retention.
Gabrielle Todd, Revecca Kakavanos‐Plew, Kay L. Double   +2 more
wiley   +1 more source

Global research trends of digital applications in medical education: A bibliometric analysis based on VOSviewer. [PDF]

Medicine (Baltimore)
Chen B, Zhang X.
europepmc   +1 more source

Navigating AI with pedagogical purpose: Toward an anatomy‐centered framework for AI‐enhanced learning

Anatomical Sciences Education, EarlyView.
Abstract Artificial Intelligence (AI) has emerged as a transformative force in medical education, enabling customized, feedback‐rich, and immersive learning experiences. Anatomy education, as a discipline that is simultaneously visual, spatial, and clinically foundational, occupies a distinctive position within this technological landscape.
Rachel Jayasekhar, Gok Kandasamy
wiley   +1 more source