👁️ Category

ophthalmology

23 papers

Ophthalmology explores the intricate world of vision, covering everything from common eye conditions like cataracts and glaucoma to complex genetic disorders affecting sight. This field bridges critical gaps between basic biology and clinical care, aiming to preserve and restore one of our most vital senses. On Gist.Science, we focus on the latest breakthroughs emerging directly from the research community before they reach traditional journals.

Every new preprint in this category comes from medRxiv, where scientists share their urgent findings early. We process each of these submissions to provide both accessible plain-language explanations and detailed technical summaries, ensuring that complex discoveries about eye health are understandable to everyone, from patients to specialists. Below are the latest papers in ophthalmology, offering a fresh look at how researchers are tackling vision loss and improving eye care today.

Real-world utilization and initial experience with aflibercept-ayyh (PAVBLU(R)) for retinal disorders in United States retina practices: A descriptive retrospective analysis

This retrospective real-world analysis of 1,000 eyes treated with the aflibercept biosimilar aflibercept-ayyh (PAVBLU) in US retina practices demonstrated stable visual acuity in previously treated patients, improved vision in treatment-naive patients, and a safety profile consistent with the reference drug, supporting its use as an effective alternative for retinal disorders.

Servin, A. E., McFadden, I., Esmaeilkhanian, H., Holcomb, D., Lin, J., Awh, C. C.2026-02-27👁️ ophthalmology

Multimodal AI fuses proteomic and EHR data for rational prioritization of protein biomarkers in diabetic retinopathy

This study introduces a multimodal AI framework called COMET that integrates large-scale electronic health records with proteomic data to rationally prioritize and validate novel protein biomarkers for diabetic retinopathy, demonstrating superior predictive performance and biological relevance compared to single-modality approaches.

Lin, J. B., Mataraso, S. J., Chadha, M., Velez, G., Mruthyunjaya, P., Aghaeepour, N., Mahajan, V. B.2026-02-24👁️ ophthalmology

Feasibility of Electroencephalography-Based Detection of Single-Flash Microperimetry Stimuli: A Proof-of-Concept Study

This proof-of-concept study demonstrates the feasibility of using a BiLSTM deep learning model to detect single-flash microperimetry stimuli from occipital EEG signals in healthy participants, achieving up to 80% accuracy even without hardware-level synchronization.

Dar, M. N., de Castro, A. N. S., Fazal, Z. Z., Janjua, K., Shaik, M. A. S., Sheharyar, T., Ahmed, M. I., Sepah, Y.2026-02-14👁️ ophthalmology