Serverless Solutions Seek to Relieve Large Scale Computing Needs and Cost Demands in the Cloud

During the recent conference held by the Special Interest Group on Knowledge Discovery and Data Mining held in Singapore, three international public science policy advocacy groups presented a guide, Using Artificial Intelligence to Support Healthcare Decisions, aimed at empowering and educating the public on the growing use of AI platforms in the healthcare decision-making process. The guide covers explanations of common applications of artificial intelligence platforms in healthcare and, more importantly, outlines specific questions one can pose to cut to the core of the efficacy and reliability of an AI platform in those applications.

At the recent CES 2022 tech event, Japanese corporation OMRON, the world’s leading manufacturer and distributor of personal heart health products and other medical devices, highlighted (and later announced on their website) the activities of their partnership with Kyoto University to develop an AI[1]powered platform that uses remotely gathered patient data to predict cardiovascular diseases at an earlier stage than current averages. Kyoto University is closely tied to the identity of Japan's government and considered Japan's leading research university. They operate a Top500 HPC system on-site in addition to conducting research on the cutting edge Fugaku supercomputer. This new program, part of an ongoing partnership between the two organizations, seeks to explore the use of AI to analyze blood pressure metrics for early detection of cardiovascular diseases faster and with greater accuracy allowing for treatment courses to be changed or taken more quickly.