Want to know more about your future risk of developing heart or lung problems? Your retinal thickness might hold important clues. Researchers have previously established links between the thickness of ...

Please provide your email address to receive an email when new articles are posted on . The BioAge model, which uses retinal images, accurately stratified individuals by traditional cardiovascular ...

This stunning image may look like a particularly lively Jackson Pollock painting, but it’s actually an example of a new cell imaging technique. The subject? A human retina. In fluorescence microscopy, ...

Mass Eye and Ear physician-researchers show that retinal imaging can help predict a person’s risk of developing ocular, neuropsychiatric, cardiac, metabolic, and pulmonary diseases. The team also ...

Deep machine learning can extract and quantify several risk factors for cardiovascular disease (CVD) from photographs of the retinal fundus, according to findings published online February 19 in ...

The retina is said to provide a window into a person's systemic health. In a new study published January 24 th in Science Translational Medicine, physician-researchers from Mass Eye and Ear, a member ...

Artificial intelligence (AI) models have been validated for recognizing signs of eye diseases in retinal images, enhancing diagnosis, and risk stratification. Combining natural images and medical data ...

Cross-section through part of a retinal organoid: On day 143 of their differentiation, the inner nuclear layer (bottom) contains the cell bodies of functionally distinct cells: those of the amacrine ...

Researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory ...

Tractional retinal detachment occurs if scar tissue in the eye causes the retina to move out of position. It requires immediate medical attention. The retina is a light-sensitive layer of cells at the ...