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 optimize treatment with the lowest possible potency and frequency toreduce tumor sizes. In simulated trials of 50 patients, the machine-learning model […]
Browsing Category: AI
AI predicts drug combination complications
Stanford’s Monica Agrawal, Jure Leskovec and 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 the market, making nearly 125 billion possible side effects between all possible pairs of drugs. The team created a network describing […]
Vinod Khosla on AI in healthcare | ApplySci @ Stanford
Vinod Khosla discussed AI at ApplySci’s recent Wearable Tech + Digital Health + Neurotech conference at Stanford; Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab. Speakers include: Rudy Tanzi – Mary Lou Jepsen – George Church – Roz Picard – Nathan Intrator […]
Tony Chahine on human presence, reimagined | ApplySci @ Stanford
Myant‘s Tony Chahine reimagined human presence at ApplySci’s recent Wearable Tech + Digital Health + Neurotech conference at Stanford: Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab. Speakers include: Rudy Tanzi – Mary Lou Jepsen – George Church – Roz Picard – […]
Phillip Alvelda: More intelligent; less artificial | ApplySci @ 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 + Neurotech Boston, on September 24, 2018 at the MIT Media Lab. Other speakers include: Rudy Tanzi – Mary Lou Jepsen – George Church […]
AI CT analysis speeds stroke identification, treatment
Viz.ai‘s algorithms analyze brain scans and immediately transfer data to ensure rapid stroke treatment. The system connects to a hospital CT and sends alerts when a suspected LVO stroke has been identified. Radiological images are sent to a doctor’s phone. The company claims that the median time from picture to notification is less than 6 […]
DARPA’s Justin Sanchez on driving and reshaping biotechnology | ApplySci @ Stanford
DARPA Biological Technologies Office Director Dr. Justin Sanchez on driving and reshaping biotechnology. Recorded at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 26-27, 2018 at Stanford University. Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 25, 2018 at the MIT Media […]
Vinod Khosla + Lisa Weiner Intrator on AI in healthcare | ApplySci @ Stanford
Vinod Khosla + Lisa Weiner Intrator discuss AI in healthcare at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference – February 26-27, 2018 at Stanford University Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 25, 2018 at the MIT Media Lab
Phillip Alvelda: More intelligent; less artificial | ApplySci @ Stanford
Cortical founder and former DARPA NESD program manager Phillip Alvelda discusses AI and the brain at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 26-27, 2018 at Stanford University: Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference – September 25, 2018 at the MIT Media […]
Heart attack, stroke, predicted via retinal images
Google’s Lily Peng has developed an algorithm that can predict heart attacks and strokes by analyzing images of the retina. The system also shows which eye areas lead to successful predictions, which can provide insight into the causes of cardiovascular disease. The dataset consisted of 48,101 patients from the UK Biobank database and 236,234 patients […]