Machine Learning Working Group virtual meeting, August 23, 12pm-1pm ET

Wednesday, August 18, 2021 - 12:11

Please join us for a virtual Machine Learning Working Group Meeting on August 23rd, from 12-1pm EST. Greeshma Agasthya, PhD, Research Scientist in the Advanced Computing for Health Sciences Section at Oak Ridge National Lab will be presenting “Machine learning and deep learning-based time series analysis for early metastatic prostate cancer detection.”
Abstract: Prostate cancer (PCa) is the second most common cancer among men in the United States. It was estimated that there were 191,930 new PCa cases in 2020 in USA. A 2018 study showed an increasing trend in metastatic PCa (mPCa) too and they forecast an increase in annual burden by 42% by 2025.  Despite this prevalence and forecast, a 2011 study showed a decline of nearly 40% in PCa incidence, over the previous 25 years.  However, this decline is not reflected in the mPCa survival numbers, Wu et al showed there was no improvement noted in overall survival for men with mPCa over a 20-year period.  To help address this trend in mPCa and impact outcomes, in this study we will develop machine learning and deep learning models to predict mPCa at primary PCa diagnosis

The Center for Computational Imaging and Personalized Diagnostics has partnered with the Case Comprehensive Cancer Center to host the Machine Learning Working Group. Meetings are held with the express goal of leveraging the extensive Artificial Intelligence expertise concentrated across our partner institutions including Case Western Reserve University, University Hospitals, the Cleveland VA Medical Center, MetroHealth, and the Cleveland Clinic and beyond. Through facilitating the interaction of basic and clinical researchers we hope to strengthen the scientific merit of presented studies as well as identify novel collaborative opportunities. 

If you would like to attend this month’s session, please reach out to James Hale -