As a charitable service-based non-profit organization (NPO) educating and connecting the High Performance Computing (HPC) user community to state of art technology for the purpose of Optimizing business processes and workforce advancement. Our technology focus includes AI, Cloud Computing, Data Science, Deep learning, Machine learning and visualization utilized in applications ranging from Manufacturing and Engineering, Financial services, Life Sciences, Energy, Academia and Government.
The Society of HPC Professionals past
Lunch & Learn Round Table Discussion Meeting
Lunch & Learn – February 2019
Applications of HPC for prediction of liver cancer treatment response
Held 28 February 2019
Curative therapies are not available to the majority of patients with liver cancer. Treatment decisions are difficult and must intricately balance treatment of the disease extent with quality of life and preservation of liver function while minimizing risk of recurrence and metastasis. As each therapeutic approach imposes significant physical, emotional, and financial impact on the patient, there is a well-recognized need for reliable methods that can predict the response to therapy. Computing requirements in developing automated methods to predict hepatocellular carcinoma (HCC) response to transcatheter arterial chemoembolization (TACE) will be presented. Our approach for data curation, feature reduction, model calibration, and validation to build confidence in the model prediction accuracy will be discussed. Reliable image registration and segmentation methods are essential for repeatable extraction of quantitative image features on computed tomography.
David T. Fuentes, Ph.D.
Assistant Professor, Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX
The University of Houston Classroom and Business Building (CBB)
Room 522, 4742 Calhoun Rd.