MIT’s Dina Katabi has developed a non-contact, neural network-based system to detect Parkinson’s disease while a person is sleeping. By assessing nocturnal breathing patterns, the series of algorithms detects, and tracks the progression of, the disease —...
The US Army and USC Prof Maryam Shanechi have developed an algorithm that can determine which specific behaviors—like walking and breathing—belong to specific brain signals. Segmenting brain signals has been notoriously difficult, as all signals associated with...
DeepCOVID-XR is a Northwestern University developed algorithm that automatically detects the signs of COVID-19 on a basic X-ray of the lungs. The system is able to detect COVID-19 in X-rays 10 times faster than thoracic...
FIGUR8 has commercialized MGH/MIT Media Lab research to create a sensor and algorithm to measure and track body movement as a biomarker. The wearable creates a movement baseline, diagnoses dysfunction, identifies injury risk, optimizes...
Lawson Health Research Institute, Mind Research Network and Brainnetome Center researchers have developed an algorithm that analyzes brain scans to classify illness in patients with complex mood disorders and help predict their response to medication....
Facebook and NYU’s fastMRIproject, led by Larry Zitnick, uses AI in an attempt to make MRI imaging 10 times faster. Neural networks will be trained to fill in missing or degraded parts of scans, turning...
Pratik Shah, Gregory Yauney, and MIT Media Lab researchers have developed an AI model that could make glioblastoma chemotherapy regimens less toxic but still effective. It analyzes current regimens and iteratively adjusts doses to...
Stanford’s Monica Agrawal and Jure Leskovecand Marinka Zitnik used AI to study the body’s underlying cellular machinery and predict side effects of drug combinations. There are about 1,000 known side effects and 5,000 drugs on...
Vinod Khosla discussed AI at ApplySci’s recent Wearable Tech + Digital Health + Neurotech conference at Stanford;
Phillip Alvelda discussed AI and the brain at ApplySci’s recent Wearable Tech + Digital Health + Neurotech Silicon Valley conference at Stanford: Dr. Alvelda will join us again at Wearable Tech + Digital Health...