Results 181 to 190 of about 7,639,465 (394)
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah +5 more
wiley +1 more source
Library Holiday Hours, Subscription to Microbiology, JAMA & Archives, Vol 9 (11) [PDF]
Texas Medical Center Library
core +1 more source
Medical Library Association Diversity and Inclusion Task Force Report. [PDF]
Morgan-Daniel J +5 more
europepmc +1 more source
Remarks ON THE MEDICAL LIBRARY IN POST-GRADUATE WORK *
W. Osler
semanticscholar +1 more source
Objective A leading cause of death among patients with scleroderma (SSc), interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M. Padilla +13 more
wiley +1 more source
Library Holiday Hours; Public Library Access, Vol 9 (12) [PDF]
Texas Medical Center Library
core +1 more source
Amy Blevins, Medical Library Association President, 2023-2024. [PDF]
Kiscaden E +4 more
europepmc +1 more source
Objective Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). This study aimed to externally validate a genetic risk score (GRS) and a combined risk score (CRS) for predicting the risk of RA‐associated PF in an independent cohort of patients with early RA.
Mikael Brink +3 more
wiley +1 more source

