Machine-learned biomarker identifies those at high risk for liver cancer

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...
STAT

As oncologists ponder how to integrate AI-powered cancer tools, products are hitting the market

Oncologists say there is promise in new AI tools that can guide them when choosing between two plausible treatments.
EurekAlert!

Classifying pediatric brain tumors by liquid biopsy using artificial intelligence

St. Jude Children’s Research Hospital scientists and multinational collaborators created AI-powered M-PACT to facilitate next ...
UC San Diego Today

Artificial Intelligence Predicts Colorectal Cancer Risk in Ulcerative Colitis Patients

An AI workflow accurately grouped ulcerative colitis‑LGD patients by cancer risk, flagging about half as low‑risk with a ~99 % chance of staying cancer‑free for two years. The AI workflow revealed ...
IEEE

Using Convolutional Neural Networks for Image Recognition in IoT Applications

Abstract: Convolutional Neural Networks (CNNs) have grown into a powerful picture identification tool. They are an important part of making Internet of Things (IoT) apps. In this regard, CNNs make it ...