Latest advances in eye and vision research presented at ARVO 2017 in Baltimore, Md.
Watch the May 8, 2017 press conference (45 minutes).
FEATURING
Three researchers shared their latest results, including
Prenatal marijuana use: Potential long-term effects on babies' eyes
Scientists have shown for the first time that gestational exposure to marijuana smoke in animals affects the development of the eye and these alterations seem to progress with age.
Presenter: Paulo Zantut, MD (University of Sao Paulo, Brazil), is a PhD candidate and a member of the lab of Francisco Max Damico, MD, PhD, which studies retinal and ocular drug toxicity.
Who will get AMD? Teaching algorithms to predict who's at risk
A machine learning algorithm, using images of patients' retinas obtained over time, can predict the critical moment when early or intermediate age-related macular degeneration (AMD) will progress into severe AMD.
Presenter: Hrvoje Bogunovic, PhD (Medical University of Vienna), works with Ursula Schmidt-Erfurth, MD, on medical image analysis and machine learning with applications in healthcare.
Restoring vision: New hope for retinal cell replacement
Scientists have learned to grow enough specialized neurons that relay visual data to the brain to create a source of cells for future treatments of glaucoma and other optic neurodegenerative diseases.
Presenter: Julia Oswald, PhD (Schepens Eye Research Institute, Harvard Medical School), works in the lab of Petr Baranov, MD, PhD, where she is working toward a cure for glaucoma with stem cell replacement therapies for the eye.
Three researchers shared their latest results, including
Prenatal marijuana use: Potential long-term effects on babies' eyes
Scientists have shown for the first time that gestational exposure to marijuana smoke in animals affects the development of the eye and these alterations seem to progress with age.
Presenter: Paulo Zantut, MD (University of Sao Paulo, Brazil), is a PhD candidate and a member of the lab of Francisco Max Damico, MD, PhD, which studies retinal and ocular drug toxicity.
Who will get AMD? Teaching algorithms to predict who's at risk
A machine learning algorithm, using images of patients' retinas obtained over time, can predict the critical moment when early or intermediate age-related macular degeneration (AMD) will progress into severe AMD.
Presenter: Hrvoje Bogunovic, PhD (Medical University of Vienna), works with Ursula Schmidt-Erfurth, MD, on medical image analysis and machine learning with applications in healthcare.
Restoring vision: New hope for retinal cell replacement
Scientists have learned to grow enough specialized neurons that relay visual data to the brain to create a source of cells for future treatments of glaucoma and other optic neurodegenerative diseases.
Presenter: Julia Oswald, PhD (Schepens Eye Research Institute, Harvard Medical School), works in the lab of Petr Baranov, MD, PhD, where she is working toward a cure for glaucoma with stem cell replacement therapies for the eye.