IMSC has been committed to support education and outreach activities through various programs including short term certificate courses, remote education, internships, and internal/external service. We try to connect local, national, and international students and scholars with Data Science research activities in order to promote the greater understanding of mutually interested fields of studies.
April. 25, 2018.
Teaching and Learning at Data informatics professional practicum course bring AI and data-driven healthcare solutions for Liver Transplantation Patients
Liver transplantation is a lifesaving procedure for those suffering from end stage cirrhosis, liver failure, or a cancerous lesion of the liver. Unfortunately, there is a shortage of available liver grafts. Only in the US, every year nearly 14,000 patients are listed and waiting for orthotopic liver transplantation (OLT) while 3,000 patients are dying or increasing illness before getting a liver transplant.
Professor Anna Farzindar, research associate and Health Informatics advisor of IMSC, brings this challenge to her Data Informatics Professional Practicum (INF 560) course at USC. Student teams up to work on medical data analytic challenges in collaboration with Keck School of Medicine. In the Spring Semester 2018, five teams analyzed 88,000 anonymized patients’ data to provide the innovative solutions for Optimizing the Success of Organ Allocation and Prediction of Graft Futility in Liver Transplantation Patients. Machine learning can provide a complementary solution to current numerical scale of Model for End-Stage Liver Disease (MELD) to prioritize patients who are waiting for a liver transplant.
Nov. 27, 2017.
One of IMSC’s affiliated faculty, Prof. Antonio Ortega, co-chairs an IEEE Data Science Workshop that aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science theory and applications. In particular, the event will gather researchers and practitioners in various academic disciplines of data science, including signal processing, statistics, machine learning, data mining and computer science, along with experts in academic and industrial domains, such as personalized health and medicine, earth and environmental science, applied physics, finance and economics, intelligent manufacturing. He also participated in postsecondary education activities such as National Academies Roundtable on Data Science Post-Secondary Education which brings together representatives from academic data science programs, funding agencies, professional societies, foundations, and industry to discuss the community’s needs, best practices, and ways to move forward.
Aug. 1, 2017.
IMSC jointly performs research-based educational program in the field of Data Science with Dongguk University (DGU), Seoul, Korea which provides research opportunities to the undergraduate students from DGU.