Improving vision restoration methods using machine learning and retinal recordings

Assessment of murine retinal acuity ex vivo by machine learning of multielectrode array recordings

['FUNDING_OTHER'] · UPSTATE MEDICAL UNIVERSITY · NIH-11076298

This study is exploring new ways to help restore vision by looking at how retinal cells in mice work, using smart computer techniques to gather important information that could lead to better treatments for people with vision loss.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorUPSTATE MEDICAL UNIVERSITY (nih funded)
Locations1 site (SYRACUSE, UNITED STATES)
Trial IDNIH-11076298 on ClinicalTrials.gov

What this research studies

This research focuses on enhancing techniques for restoring vision by assessing the function of retinal cells in mice using advanced machine learning methods. The project involves collecting data from multielectrode arrays that record electrical activity in the retina, which will help researchers understand how different restoration techniques work. By developing better assessment tools, the research aims to accelerate the creation of effective interventions for vision loss. The team, led by Dr. Darwin Babino, is dedicated to training and collaboration to ensure comprehensive development in this field.

Who could benefit from this research

Good fit: Ideal candidates for benefiting from this research would be individuals suffering from retinal degeneration or other vision impairments.

Not a fit: Patients with conditions unrelated to retinal function or those who do not have vision impairments may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more effective treatments for vision restoration in patients with retinal diseases.

How similar studies have performed: Previous research has shown promise in using machine learning for analyzing retinal function, indicating potential success for this approach.

Where this research is happening

SYRACUSE, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.