Results 151 to 160 of about 2,402,901 (306)
Objective This study aims to describe the frequency and timing of physician referrals to physical therapists (PTs) and other treatments prescribed over 12 months in patients with recent onset of knee osteoarthritis (KOA). The study also aims to identify determinants of early PT referrals.
Samannaaz S. Khoja +4 more
wiley +1 more source
Will large language models transform clinical prediction? [PDF]
Yildiz Y, Nenadic G, Jani M, Jenkins DA.
europepmc +1 more source
Objective We conducted formative research aimed at identifying solutions that address inequitable health outcomes in lupus due to adverse social determinants of health (SDoH). Methods We conducted a search for keywords, which provided insights into potential solutions and initiatives underway. An advisory panel of lupus experts iteratively reviewed the
Joy Buie +11 more
wiley +1 more source
Large language models reflect the ideology of their creators. [PDF]
Buyl M +10 more
europepmc +1 more source
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy +9 more
wiley +1 more source
Artificial intelligence, large language models, and you
Charles Marquardt, MD
doaj +1 more source
GOFlowLLM-curating miRNA literature with large language models and flowcharts. [PDF]
Green A +8 more
europepmc +1 more source
Serum Soluble Mediator Signatures of Lupus Nephritis: Histologic Features and Response to Treatment
Objective Lupus nephritis (LN) management remains challenging, and novel noninvasive biomarkers are needed. This study quantified serum soluble mediators in the Accelerating Medicines Partnership (AMP) LN cohort to identify biomarkers of histologic features and treatment response.
Andrea Fava +48 more
wiley +1 more source
Assessing the Chemical Intelligence of Large Language Models. [PDF]
Runcie NT, Deane CM, Imrie F.
europepmc +1 more source
PIP: Perturbation-based Iterative Pruning for Large Language Models
Association for Computational Linguistics 2025 +7 more
openalex +1 more source

