Machine learning (ML) is a promising tool in assisting clinical decision-making for improving diagnosis and prognosis, especially in developing regions. It is often used with large samples, aggregating data from different regions and hospitals. However, it is unclear how this affects predictions in local centers.
View Article and Find Full Text PDFCollisional Brownian engines have been proposed as alternatives to nonequilibrium nanoscale engines. However, most studies have focused on the simpler overdamped case, leaving the role of inertia much less explored. In this work, we introduce the idea of collisional engines to underdamped Brownian particles, where at each stage the particle is sequentially subjected to a distinct driving force.
View Article and Find Full Text PDFZootaxa
July 2024
Background: Left atrial appendage closure (LAAC) is an alternative therapy for patients with nonvalvular atrial fibrillation who are not eligible for long-term oral anticoagulation. However, the optimal therapy after this procedure still is controversial, especially in a subgroup of patients with severe renal dysfunction.
Objective: The purpose of this study was to evaluate the use of low-dose direct oral anticoagulation (l-DOAC) vs dual antiplatelet therapy (DAPT) after LAAC in patients with nonvalvular atrial fibrillation.
Importance: Immunoglobulin G4 (IgG4)-related disease is an increasingly recognized fibroinflammatory condition that can involve multiple organs, including the pachymeninges. The understanding of IgG4-related pachymeningitis (IgG4-RP) remains limited because of its rarity and the predominance of knowledge derived from case reports and case series.
Objective: To systematically review and synthesize the clinical presentation, investigation findings, and prognosis of IgG4-RP to better understand its diagnosis and management.