Surgery Researchers win at Baylor's Datathon event

Ravi Ghanta, M.D., professor in the Division of Cardiothoracic Surgery, Jose Mendez-Reyes, M.D., M.P.H., assistant professor in surgery, and their team were selected as a winner at the recent Baylor College of Medicine Datathon event for their project, “Machine Learning of Cardiac Catheterization Imaging to Predict Patency and Outcomes after CABG”. Their project explores the use of sophisticated image analysis and seeks to identify features in cardiac catheterization imaging that can assist in CABG surgical planning as well improve postoperative outcomes. 

Applied sTatistics and machine Learning for the Advancement of Surgery (ATLAS) facilitates surgeon-scientist utilization of statistical modeling, machine learning and artificial intelligence with clinical data to enhance surgical outcomes. 

Lynna Nguyen, a research assistant in the Office of Surgical Research (OSR) and Veronica Glover, a senior clinical research associate in the OSR were also selected as a winner at the recent Baylor College of Medicine Datathon event for their project, “Comparing Aortic Aneurysm Expansion Rates and Risk Factors: Insights into Slow and Fast Aneurysm Progression.” Thier project seeks to compare expansion rates and risk factors between rapid and slow growing aortic aneurysms. They are identifying patient demographics, comorbidities and aneurysm features associated with fast and slow progression and then developing a predictive model to discriminate fast from slow dilating aortic aneurysms.