Results 211 to 220 of about 107,998 (310)

Draft guidance on partnership working between allied health professions and education: working together to improve outcomes for children and young people: consultation document [PDF]

, 2009

core  

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

SPEAK-SAFE: secure processing of electronic audio for knowledge in suicide assessment from therapeutic exchanges. [PDF]

Front Digit Health
Landau C, Getty P, Gruler C, Stadje R, Arampatzi S, Mandal A, Goel A, Gurevych I, Reif A, Grimm O.   +9 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

Digital bonds: patient and therapist factors influence telehealth rapport building in speech-language services. [PDF]

Front Psychol
Hao Y, Park H, Webb J.
europepmc   +1 more source

A better start: children and families with special needs and disabilities in Sure Start Local Programmes [PDF]

, 2007
Ball, Mog, Niven, Lisa, Pinney, Anne
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Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

A transdiagnostic conflict-square algorithm: a four-node computational framework for psychotherapy and functional diagnosis. [PDF]

Front Psychiatry
Niederlohmann E.
europepmc   +1 more source

Meta‐Rod Mechanical Metamaterials With Programmable Reconfiguration

Advanced Functional Materials, EarlyView.
Existing mechanical metamaterials achieve programmable large deformations in planar square or cubic configurations, restricted by required complex boundary conditions. This research proposes a 1D metamaterial, Meta‐rod, with linear, bending, twisting, area, and volume deformation modes.
Atharva Pande, Lyes Kadem, Hang Xu
wiley   +1 more source

ChatGPT in undergraduate speech and language therapy education: students' perspectives and experiences. [PDF]

BMC Med Educ
Simsek A, Kaya T, Yildirim ME.
europepmc   +1 more source