Retinal scans can help researchers detect Alzheimer's disease and track its progression in those with the APOE4 genetic risk factor for the neurodegenerative disorder. The scans can detect blood vessel deterioration linked to the genetic biomarker.
A newly developed AI tool can identify "deepfakes" of faces by examining the light reflection in the eyes of the images. The system is 94% accurate at detecting deepfakes.
A new, lasting consequence of COVID-19 infection has been identified. Researchers report they have identified significant abnormalities in the eyes of those with severe coronavirus infection.
Researchers investigate how the eyes play a critical role in emotional expression and finding a potential mate.
In socially awkward situations when a person is caught staring and averts their eyes, a third-party observer does not reflexively follow their gaze. The brain tells the observer there is no significance to the location where the embarrassed person has turned their attention.
Pupillary response in those with PTSD differs from people who have not experienced traumatic events. The pupils of those with PTSD failed to show sharp constriction caused by light changes, and more enlargement when exposed to emotional stimuli that other participants. Patients with PTSD not only showed an exaggerated response to threatening stimuli but also to stimuli that depicted positive images.
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Ranibizumab and aflibercept, two drugs used to treat retinal diseases, are excreted in the breast milk of nursing mothers who take the medications. The drugs contain an agent called anti-vascular endothelial growth factor (anti-VEGF), which blocks the development of a protein which stimulates the development of blood vessels. The protein, VEGF, is present in breast milk and plays a role in the development of the digestive system in infants.
Adults with mild cognitive impairment (MCI), a precursor to Alzheimer's disease, have greater pupil dilation when taking cognitive tests than their cognitively normal peers. Task-evoked pupillary response may be a cost-effective, and low invasive screening test for those at genetic risk for Alzheimer's before the symptoms of the disease take hold.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles··4 min read
Researchers have created a new deep learning algorithm that can accurately predict chronological age. The findings suggest the most accurate, non-invasive biomarker for aging prediction is the skin at the corner of the eye. Researchers say the findings could help offer solutions on how to look younger.