Results 131 to 140 of about 295,233 (270)
Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher +10 more
wiley +1 more source
Gradient descent in materia through homodyne gradient extraction. [PDF]
Boon MN +7 more
europepmc +1 more source
Efficient neural codes naturally emerge through gradient descent learning. [PDF]
Benjamin AS +4 more
europepmc +1 more source
Technical Report for ICML 2024 TiFA Workshop MLLM Attack Challenge: Suffix Injection and Projected Gradient Descent Can Easily Fool An MLLM [PDF]
Yangyang Guo +5 more
openalex +1 more source
Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett +8 more
wiley +1 more source
Objective This study examined the global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis (OA) burden from 1990 to 2021. Methods Age‐standardized years lived with disability rates (ASYRs) for site‐specific OA across 204 countries and territories were obtained from the Global Burden of Diseases, Injuries, and ...
Haowei Chen +14 more
wiley +1 more source
Convergence analysis and application for high-order neural networks based on gradient descent learning algorithm via smooth regularization. [PDF]
Mohamed KS +3 more
europepmc +1 more source
Correspondence between neuroevolution and gradient descent. [PDF]
Whitelam S, Selin V, Park SW, Tamblyn I.
europepmc +1 more source

