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לחברי/ות האגודה לחקר העין והראיה,
לאור המשך מצב הלחימה, אין לנו מנוס אלא לדחות את הכנס השנתי שתוכנן ליום ד' 11.3.26.
הכנס יתקיים ביום ה' 23.4.26
מיקום הכנס- מלון דניאל, הרצליה

התשלום שהתקבל מהנרשמים עבור השתתפותם בכנס, יעמוד לרשותם למועד החדש.

במקרים של בעיות ספציפיות לגבי המצגות, אפשר לפנות במייל למזכירות הכנס instyle@in-style.co.il
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כולנו מקווים שנוכל לחזור במהרה לשגרה בטוחה.
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וועד האגודה

The Israeli Society for Eye and Vision Research

Our goal is to promote eye and vision research in Israel and encourage collaboration between doctors and researchers dealing with eye diseases.

ISVER – AN ARVO CHAPTER

ISVER is recognized as a branch of ARVO since 2006.

ARVO to the website

Ongoing scientific activity

Previous conferences

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Upcoming conferences

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Join the Fellows Community - Apply for Honorary Fellowship. The Israeli Society for Eye and Vision Research

About FISVER

News and updates

Prof. Samer Khatib, ISVER Board Member and Treasurer, presented research at the ARVO conference

The research deals with the development of a new, multidimensional drug based on inhibitory small molecules for the treatment of retinal and vascular diseases such as diabetic retinopathy, wet age-related macular degeneration, and venous occlusions. We were able to demonstrate using cell cultures, tissues, and an animal model that our new compound, which works through a combined mechanism that is different from current treatments in clinical use, is highly effective in suppre

Sapir Shalom, ISVER committee member, presented a poster at the ARVO conference

Sapir presented her research on the genetics of retinal diseases - finding new genes and mutations that cause these diseases and developing genetic therapies.

Committee member - Dr. Hadas Ben Eli - presented a poster at the recent ARVO conference

In a study conducted at Hadassah Medical Center in collaboration with the Jerusalem Multidisciplinary Academic Center, data from 557 cataract surgeries performed by ophthalmology residents (2018–2022) were analyzed. The aim of the study was to identify factors that predict non-clinically significant improvement in visual acuity (BCVA) after surgery, using machine learning models to create a personalized prediction tool. It was found that in 23% of patients, the improvement in