Results 201 to 210 of about 3,038,337 (264)

Knowledge graph-large language model fusion approach for emergency knowledge recommendation in gas tunnels. [PDF]

Sci Rep
Xu N, Chen X, Luo J, An F, Wang L, Li X.
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Large Language Model Adaptation Strategies in Speech-Based Cognitive Screening: Systematic Evaluation. [PDF]

JMIR AI
Taherinezhad F, Momeni Nezhad MJ, Karimi S, Rashidi S, Zolnour A, Dadkhah M, Haghbin Y, Azadmaleki H, Zolnoori M.   +8 more
europepmc   +1 more source

Clinical, histological, and serological predictors of renal function loss in lupus nephritis.

Arthritis Care &Research, Accepted Article.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang, Laurence Magder, Daniel Goldman, Judith A. James, Joel M Guthridge, Carla Guthridge, Peter Izmirly, Jill P Buyon, H.Michael Belmont, Richard A. Furie, Noa Schwartz, Chaim Putterman, Jennifer L. Barnas, Jennifer H. Anolik, Sarah French, Maria Dall'era, Avi Z. Rosenberg, Jeffrey Hodgin, Dawit S. Demeke, the Accelerating Medicines Partnership RA/SLE Network, Michelle Petri, Andrea Fava   +21 more
wiley   +1 more source

Quantify unmet medical need across the disease landscape - A large language model-based methodology. [PDF]

PLoS Med
Sharp EW, Fragola N, Blewitt C, Goddeeris M, Lancashire L, Hempstead C, Fajgenbaum DC.   +6 more
europepmc   +1 more source

Associations of lifestyle‐related factors and psoriatic arthritis disease activity: the Dutch south west psoriatic arthritis study

Arthritis Care &Research, Accepted Article.
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients newly diagnosed with PsA, between 2013 and 2023. A composite lifestyle risk score (range 0 to 5) was calculated using five lifestyle‐
Batoul Hojeij, Ilja Tchetverikov, Marc R. Kok, Marijn Vis, Yvonne Goekoop‐Ruiterman, Jessica Bijsterbosch, Paul Baudoin, Reinhard Bos, Jos H. van der Kaap, Petra Kok, Lindy‐Anne Korswagen, Jolanda J. Luime   +11 more
wiley   +1 more source

Experimental Evaluation of 100Cr6 Steel Microindented Surfaces Under Lubricated Nonconformal Point Contacts

Advanced Engineering Materials, EarlyView.
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi, Pasquale Guglielmi, Gianfranco Palumbo, Giuseppe Carbone   +3 more
wiley   +1 more source

Authors' Reply: Toward Retrieval-Grounded Evaluation for Conversational Large Language Model-Based Risk Assessment. [PDF]

JMIR AI
Roshani MA, Zhou X, Qiang Y, Suresh S, Hicks S, Sethuraman U, Zhu D.   +6 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source