Researchers at Boston University have developed a new tool that could automate the process and, eventually, allow it to move online. Their machine learning–powered computational model can detect cognitive impairment from audio recordings of neuropsychological tests—no in-person appointment needed.
For all the incredible accomplishments of scientific progress, there is perhaps no problem more challenging than the ability to change […]
A BU-led team is engineering small patches of cardiac muscle that could repair the heart, treat heart disease, and speed […]
Professors Alexander Sergienko and Abdoulaye Ndao, working with a team of researchers at SUNY Buffalo, have been awarded a $1M […]
Second-year ECE PhD student Daniel Shahar has been selected for a prestigious and highly selective 2022 National Science Foundation (NSF) […]
Ideally, when medical researchers use advanced microscopic imaging techniques to examine living cancer cells, they would achieve results allowing for […]
The diagnosis and treatment of cancer, in its many malignant forms, remains one of the most urgent and confounding challenges […]
These days, most people would be lost without their GPS. The Global Positioning System, and satellite-based navigation and timing services […]
Artificial intelligence (AI) is everywhere, powering applications such as Spotify music suggestions, facial recognition from your smartphone or the ETA […]
Professor Rabia Yazicigil and her MIT collaborators are on a roll. The multi-institutional team behind the GRAND universal decoder algorithm […]