Celebrating the progression of treatment for Inherited Retinal Diseases on Rare Disease Day

Video

Dr Aleksandra Rachitskaya discusses how the treatment landscape for Inherited Retinal Diseases has changed and her hope for the future.

On Rare Disease Day, Dr Aleksandra Rachitskaya talks about how far treatment has come for Inherited Retinal Diseases. Once an untreatable diagnosis, Inherited Retinal Diseases now have an approved gene therapy option as well as more therapeutics under investigation.

Video transcript

Dr Rachitskaya: Hi, my name is Aleksandra Rachitskaya, and I'm a retina surgeon at Cleveland Clinic Cole Eye Institute. On this Rare Disease Day, I'm really excited about the future of Inherited Retinal Diseases. It used to be that Inherited Retinal Diseases were a type of diagnosis one was given, and there was not much hope in terms of treatment. A lot of patients would progressively lose vision and had to rely on low vision devices.

But these days, we do have an approved gene therapy, and also a lot of clinical trials focusing on gene therapy for a variety of Inherited Retinal Diseases. So on this Rare Disease Day, I think the future of Inherited Retinal Diseases as it comes to gene therapy is bright, and I'm excited to be part of that.

Note: This transcript has been lightly edited for clarity.

Related Videos
 Allen Ho, MD, presented a paper on the 12 month results of a mutation agnostic optogenetic programme for patients with severe vision loss from retinitis pigmentosa
ARVO 2024: President-elect SriniVas Sadda, MD, speaks with David Hutton of Ophthalmology Times
Paul Kayne, PhD, on assessing melanocortin receptors in the ocular space
Marjorie Rah, OD, PhD, FAAO
Giulia Corradetti, MD, discusses her presentation "Functional Microperimetric Correlates of OCT Structures Features in Intermediate AMD"
At this year's ARVO meeting, Paolo Silva, MD, presented data on Protocol AA on behalf of the DRCR Retina Network
Baruch Kuppermann, MD, PhD
At this year's ARVO meeting, Qinqin Zhang, PhD, presented a poster titled "A unified deep learning model for geographic atrophy segmentation: Adaptable to SS-OCT and SD-OCT data with multiple scan patterns."
Ash Abbey, MD, shares 36-month data from the GALE study of pegcetacoplan
© 2024 MJH Life Sciences

All rights reserved.