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Efficacy of Split-Thickness Thin Amniotic Membrane Graft for Closure of Refractory or Large Macular Holes.
Retina
January 2025
Kresge Eye Institute/Department of Ophthalmology, Visual and Anatomical Sciences, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Purpose: To assess the effectiveness of split-thickness amniotic membrane (SAM) grafts in achieving closure of refractory or large macular holes (MH).
Methods: This retrospective study reviewed data from patients who underwent surgical repair of MHs using SAM grafts between January 2019 and December 2023. Key parameters, including best-corrected visual acuity (BCVA) and MH size, were evaluated both preoperatively and postoperatively.
Clinical and Structural Parameters in Autosomal Dominant Optic Atrophy Patients: A Cross-Sectional Study Using Optical Coherence Tomography.
J Neuroophthalmol
November 2024
Ophthalmology Department (AC-C, MF-R, SA-A, RA, BS-D), Seu Maternitat, Hospital Clínic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Faculty of Medicine and Health Sciences (AC-C, SA-A, BS-D), Universitat de Barcelona, Barcelona, Spain; Fundació Per La Recerca Biomèdica-IDIBAPS (MF-R, SA-A, BS-D), Barcelona, Spain; and Ophthalmology Department (MS-G), Consorci Mar Parc de Salut de Barcelona, Barcelona, Spain.
Background: Autosomal Dominant Optic Atrophy (ADOA) is a hereditary optic neuropathy characterized by retinal ganglion cell degeneration and optic nerve fiber loss. This study examined the correlation between clinical and structural parameters in patients with ADOA using optical coherence tomography (OCT) and explored potential clinical biomarkers.
Methods: A cross-sectional, case-control observational study included 27 patients with ADOA and 27 age- and sex-matched healthy controls.
Data-Driven Improvement of Local Hybrid Functionals: Neural-Network-Based Local Mixing Functions and Power-Series Correlation Functionals.
J Chem Theory Comput
January 2025
Technische Universitát Berlin, Institut für Chemie, Theoretische Chemie/Quantenchemie, Sekr. C7, Straße des 17. Juni 135, Berlin D-10623, Germany.
Local hybrid functionals (LHs) use a real-space position-dependent admixture of exact exchange (EXX), governed by a local mixing function (LMF). The systematic construction of LMFs has been hampered over the years by a lack of exact physical constraints on their valence behavior. Here, we exploit a data-driven approach and train a new type of "n-LMF" as a relatively shallow neural network.
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