Pingkun Yan, an assistant professor of Biomedical Engineering at Rensselaer Polytechnic Institute, led a team that created an algorithm using artificial intelligence that has so far been successful in predicting the outcome of COVID-19 patients.[1]Yan is also part of a Cancer Research Group within the center.[2]Yan’s team previously developed a series of AI algorithms that assess a patient’s risk of cardiovascular disease using chest CT scans.[3]
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Interdisciplinary project seeks to improve outcomes for high-risk prostate cancer patients The picture shows that time series signal is extracted from a series of ultrasound frames for classification. — Engineers at Rensselaer Polytechnic Institute are working to improve imaging methods in order to make medicine more precise and personalized. This work will be a critical component of a new interdisciplinary research project funded with $1.4 million from the National Institutes of Health that seeks to improve radiation therapy for high-risk prostate cancer patients.[2]
05/28/2019