Results 201 to 210 of about 19,841,559 (252)
Objective Gastrointestinal (GI) involvement can lead to malnutrition in patients with systemic sclerosis (SSc). Body mass index (BMI) remains the most widely used marker to screen nutritional status. We aimed to identify predictors of lower BMI in patients with SSc. Methods Patients with SSc from a prospective US cohort meeting 2013 American College of
Ali Y. Ayla +8 more
wiley +1 more source
One-core neuron deep learning for time series prediction. [PDF]
Peng H +5 more
europepmc +1 more source
Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source
A Reinforced, Event-Driven, and Attention-Based Convolution Spiking Neural Network for Multivariate Time Series Prediction. [PDF]
Li Y +5 more
europepmc +1 more source
Objectives This study synthesised the content and reporting completeness of published physical therapist‐led interventions for glenohumeral osteoarthritis (GHOA). Methods This systematic review undertook electronic database searches in PubMed, EMBASE, Cochrane, CINAHL and PEDro (until June 2025) for any peer‐reviewed articles/studies describing ...
Daha G Muhammad +5 more
wiley +1 more source
Tunneling-Controlled Fusion of Short- and Long-Term Memory in SiO<sub>2</sub>/HfO<sub>2</sub>-Based Neuromorphic Device for Time-Series Prediction. [PDF]
Yang C, Xu L, Su L, Wu Y.
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Integrating D-S evidence theory and multiple deep learning frameworks for time series prediction of air quality. [PDF]
Feng S, Tang L, Huang M, Wu Y.
europepmc +1 more source

