“Integrating Multi-Modal Biobehavioral Data to Treat Substance Use Disorders” Seminar

“Integrating Multi-Modal Biobehavioral Data to Treat Substance Use Disorders” Seminar, Dr. Brett Froeliger, Medical University of South Carolina Abstract: The role of neural circuitry in motivation, reward and drug use will be discussed; along with associations between inhibitory control and relapse vulnerability. These topics will be discussed in the context of ongoing research on the […]

“Leveraging Social Media Technology to Improve Health and Emotional Well-being”

“Leveraging Social Media Technology to Improve Health and Emotional Well-being” Abstract: Dr. Cavazos will present on systematic ways to explore social media posts about mental illness and substance misuse behaviors. Her research has implications for the delivery of online, accessible, and timely social media outreach that could facilitate new and more rapid responses in mental […]

UofSC National Big Data Health Science Conference, Case Competition 2020

UofSC National Big Data Health Science Conference, Case Competition 2020 The Big Data Health Science Case Competition will be held between February 7th-9th 2020 before the University of South Carolina’s National Big Data Health Science Conference. The Big Data Case Competition is intended to provide enthusiastic teams of graduate and senior undergraduate students with the […]

UofSC National Big Data Health Science Conference

UofSC National Big Data Health Science Conference The University of South Carolina’s National Big Data Health Science Conference is a signature annual event of the UofSC Big Data Health Science Center (BDHSC). The theme for the 2020 Conference: Unlocking the Power of Big Data in Health – Partnerships among Industry, Government, and Academia. https://www.sc-bdhs-conference.org/ Register […]

“Bayesian Regression for Group Testing Data”

Room 140, Discovery I 915 Greene Street, Columbia, SC, United States

Abstract: Group testing involves pooling individual specimens (e.g., blood, urine, swabs, etc.) and testing the pools for the presence of a disease. When individual covariate information is available (e.g., age, gender, number of sexual partners, etc.), a common goal is to relate an individual's true disease status to the covariates in a regression model. Estimating […]

BDHSC Live Lecture: Big Data in the Time of COVID-19

BDHSC invites UofSC Faculty/Staff and Students to a live lecture. When: Apr 24, 2020 11:00 AM Eastern Time (US and Canada) Topic: Live Lecture: Data Science in the Time of COVID-19 Register in advance for this webinar: https://zoom.us/webinar/register/WN_xntSAcMVTW6KwxM1xt1M8w After registering, you will receive a confirmation email containing information about joining the webinar.       […]

Big Data Analytics Workshop on Statistical and Machine Learning of Challenging Neuroimaging Datasets

Zoom Webinar

Due to COVID-19, this workshop has been postponed. We have switched to a virtual format and will now hold to workshop via Zoom Webinar.  Synopsis The increasing volume and variety of neuroimaging datasets demand advanced modeling techniques to answer scientifically relevant questions such as causality and treatment effect. This workshop features novel statistical and machine learning approaches for […]

Free

Leveraging the Science of Where for COVID-19 Response and Recovery

Zoom Webinar

The Big Data Health Science Center is hosting a 90-minute interactive webinar with representatives from ESRI in Redlands, CA. This webinar will focus on data visualization and analysis of COVID19 data using the ArcGIS platform. Pre-registration is required for the webinar (limited to 100 attendees). Interested in registering? Please contact Miranda Cole at MC95@mailbox.sc.edu for […]

Collaborative Data Conference with VA Health Care System and BDHSC

Join us virtually for an opportunity to partake in a collaboration between UofSC Big Data Health Science Center and the VA Health Care System to discuss game changing healthcare analytics. Leaders from the VA and BDHSC will come together to give in-person presentations highlighting the innovative possibilities of big data approaches to healthcare research. The […]

Free

Novel Pattern Identification Methodologies for COVID-19 Medical Patient Data

Zoom Webinar

Abstract: Novel pattern identification methodologies have been developed based upon mathematical methods used in theoretical physics.  The resulting powerful algorithms can be utilized to find clusters in both numerical data tables of the attributes of things and of networks of connectivity among things. This research develops a transformative pattern identification algorithm to analyze COVID-19 patient […]