We are hosting our 4th annual student case competition, a virtual event in which students compete in teams to solve an issue in healthcare using big data analytics. The 4th Annual Big Data Health Science Case Competition will be held virtually between February 3-5, 2023, ahead of the University of South Carolina’s National Big Data Health Science Conference, scheduled for February 10–11, 2023.

Researchers from the USC Arnold School of Public Health and School of Medicine Columbia have developed an algorithm for identifying the gestational week when COVID-19 infection occurs. Published in PLOS ONE, the method leverages large amounts of data from electronic health records and enables researchers and clinicians to better understand the potential risks to both fetus and mother.

Health services policy and management assistant professor Chen Liang has been selected as a Fellow of the American Medical Informatics Association. He will be formally inducted into the fellowship at the association’s annual meeting next spring. Dr. Liang is a faculty affiliate with the USC Big Data Health Science Center and South Carolina SmartState Center for Healthcare Quality. Liang’s work involves developing and applying data science, informatics and artificial intelligence to help these populations with a focus on infectious diseases (particularly COVID-19), obstetrics and gynecology.

The Big Data Health Science Center is seeking research and program-based abstracts for oral and poster presentations responsive to its 4th annual conference theme, “Unlocking the Power of Big Data in Health: Translating Data Science into Program Development and Implementation”.  Accepted abstracts will be published in conference proceedings Research and program-based abstracts in the areas of infectious diseases, AI for sensing and diagnosis, EHR, social media data, genomics analysis, geospatial research, GIS, infrastructural and capacity development, professional development, community/industry engagement, academic training, and methodological advances are desired.

We are now accepting applications for our T35 Big Data Health Science in Infectious Diseases Summer Research Training program. The NIH-funded T35 Research Traineeship Program is designed specifically for pre-doctoral students in physical and/or quantitative sciences from across the United States. This is an 11-week, full-time intensive course-based training program to work alongside established clinical scientists on one or more Big Data Health-related studies.