Results 201 to 210 of about 980,853 (253)
Objective Ultrasound (US) has been proposed as a potential tool for assessing skin fibrosis in systemic sclerosis (SSc). However, a large‐scale comparison of US‐based assessment with histologic markers of skin fibrosis has not been reported. We evaluated US‐based skin assessments for their face validity (differentiation between involved SSc and healthy
Ruhani Desai +12 more
wiley +1 more source
Leveraging federated learning and edge computing for pandemic-resilient healthcare. [PDF]
Choudhury A +4 more
europepmc +1 more source
Objective This study assessed sarilumab in treating patients with polyarticular‐course juvenile idiopathic arthritis (pcJIA). Methods This phase 2b, open‐label study (NCT02776735) consisted of three sequential parts (each with a core‐treatment and extension‐phase). During part 1, three doses were assessed in two weight groups (Group A/B: ≥30–60 kg/≥10–<
Fabrizio De Benedetti +19 more
wiley +1 more source
AAB-FusionNet: A real-time object detection model for UAV edge computing platforms. [PDF]
Ha CK, Nguyen H, Le LH.
europepmc +1 more source
Objective The goal was to assess the diagnostic performance of three novel autoantibodies (NA) for Sjögren disease (SjD) by comparing NA prevalence in patients with SjD, other autoimmune rheumatic diseases (ARDs), nonspecific chronic sialadenitis (CS), and controls.
Chadwick R. Johr +5 more
wiley +1 more source
Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing. [PDF]
Zhang W, Ou H.
europepmc +1 more source
Objectives Systemic lupus erythematosus (SLE) is a heterogenous inflammatory condition, with widely varying global prevalence estimates. Frequency of SLE in the general population of Australia has been reported to be notably lower than contemporary estimates in countries such as the US or UK at 19‐39 per 100,000 as opposed to 65‐97 per 100,000.
Lucinda Roper +7 more
wiley +1 more source
An AI-Based Integrated Multi-Sensor System with Edge Computing for the Adaptive Management of Human-Wildlife Conflict. [PDF]
Hajder M, Kolbusz J, Liput M.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source

