Results 171 to 180 of about 9,140,611 (353)

Network Localization of Fatigue in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo   +12 more
wiley   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

Computing an Optimal Control Policy for an Energy Storage

open access: yes, 2013
We introduce StoDynProg, a small library created to solve Optimal Control problems arising in the management of Renewable Power Sources, in particular when coupled with an Energy Storage System.
Ahmed, Hamid Ben   +4 more
core  

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

open access: yesArthritis Care &Research, EarlyView.
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

Validation of a Genetic Risk Score Combined with Clinical Variables for Predicting Pulmonary Fibrosis in early Rheumatoid Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objectives Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). The study aimed to externally validate a genetic risk score (GRS) and a combined risk score for predicting the risk of RA‐associated PF in an independent cohort of early‐RA patients. Methods This study utilized an inception cohort of 1118 patients
Mikael Brink   +3 more
wiley   +1 more source

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