Tag: diagnostics

Scientists at the University of Leeds have developed an AI system that can identify patients at risk of a heart attack from eye scans taken during a routine visit to an optician. The AI system identified associations between pathology in the retina and changes in the patient’s heart. At present, diagnostic features of the heart can only be monitored in a hospital setting through relatively expensive tests. The use of deep learning approaches to analyze retinal scans could revolutionize healthcare through early detection of signs of heart disease.

Scientists have developed a new technology to modulate neural activity using focused, low intensity ultrasound pulses. Transcranial focused ultrasound (tFUS) can target specific cells and neural circuits to activate or inhibit them. The novel technology can be applied to develop diagnostic techniques and innovative treatment options for a variety of neurological and psychiatric diseases such as chronic pain, depression, insomnia, epilepsy, and Parkinson’s disease.