MIT CSAIL professor Regina Barzilayand Harvard/MGH professor Constance Lehman have developed a deep learning model that can predict breast cancer, from a mammogram, up to five years in the future. The model learned subtle breast tissue patterns that...
University of Vermont researchers have developed an algorithm that detects anxiety and depression in children’s voices with 80 per cent accuracy, according to a recent study. Standard diagnosis involves a 60-90 minute semi-structured interview with...
Xia Huiminand Guangzhou Women and Children’s Medical Center researchers used AI to read 1.36 million pediatric health records, and diagnosed disease as accurately as doctors, according to a recent study. Common childhood diseases were detected...
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...
Nathan Intratordiscussed epilepsy, AI and digital signal processingat ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valleyconference on February 26-27, 2018 at Stanford University: