Results 191 to 200 of about 70,162 (241)

Visual Impairment and Cardiovascular Risk Factors in Hispanic and Latino Adults.

JAMA Netw Open
Joslin CE, Wang A, Lee DJ, Ulanski LJ, Lam BL, Vajaranant TS, Mendoza-Santiesteban CE, Stewart ML, Savoy GG, Mocan MC, Gonzalez F, Zheng DD, Thyagarajan B, Coco L, Pirzada A, Cai J, Daviglus ML, SOL Ojos Study Group.   +17 more
europepmc   +1 more source

Incremental Predictive Value of Preoperative Macular Optical Coherence Tomography for Postoperative Visual Acuity After Phacoemulsification Cataract Surgery: A Retrospective Cohort Study. [PDF]

Clin Ophthalmol
AlJohani S, Alshehri A, Al Khathami A, Alshehri RS, AlJaafar NA, Albadran RA, Alismail MMA, Shaheen A.   +7 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Visual and anatomic outcomes of epiretinal membrane surgery in highly myopic eyes with varying axial lengths. [PDF]

Int J Ophthalmol
Yang XH, Feng X, Qi BY, Wu XJ, Jia QL, Liu W.   +5 more
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

The prevalence of refractive errors among patients with keratoconus attending Damascus hospital, Syria: a cross-sectional study. [PDF]

BMC Ophthalmol
Akwan R, Alhouri AN, Alhouri HN, Aljaramani R, Olabi H, Issa S.   +5 more
europepmc   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Visual and Patient-Reported Outcomes After Bilateral Implantation of Two Enhanced Monofocal IOLs. [PDF]

J Clin Med
Giglio R, Milan S, Leonelli R, Verdimonti E, Grotto A, Presotto M, Soccio G, Zeppieri M, Turco G, Tognetto D.   +9 more
europepmc   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Outcomes of Synthetic Corneal Endothelial Implant in Patients with Corneal Oedema with or without Prior Endothelial Keratoplasty: A Case Series. [PDF]

Clin Ophthalmol
Levy I, Mukhija R, Nanavaty MA.
europepmc   +1 more source