US Government Proposed FY 2022 Budget Targets Increased Funding to Support Domestic Quantum Information Science

At the conclusion of 2021, researchers at UNC Charlotte and Duke University Medical Center published results of work done to use transfer learning methods to generate fluence maps for radiation therapy, aimed at providing medical professionals with more capability and information in fighting adrenal cancers. The technique uses a deep transfer learning model trained on a much larger dataset that can be applied to a smaller data set for a specific application.

• The initial model was trained on pancreas treatment plans, then retuned and applied to a smaller set of data points on adrenal cancers. The output of the model generates a fluence map for specific IMRT beam-based treatments for adrenal cancers.
• According to the researchers, this approach is meant to supplement but not replace human expertise in the field and is reliant on human expertise to finetune and improve the AI model.

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.