Our Work
We aim to develop novel and efficient solutions addressing various challenges in healthcare data science and informatics, devoting ourselves to supporting clinicians at the front line of patient care.
01
Retrospective Risk Scoring Modeling in Mammogram for Earlier-than-early Breast Cancer Detection
Project Lead: Linglin Zhang
Project Support: Vineela Nalla, Inchan Hwang
*In collaboration with Dr. Hari Trivedi from Emory University School of Medicine
02
External Validation and Benchmarking of State-of-the-art Mammogram Models over EMory BrEast imaging Dataset (EMBED)
Project Lead: Inchan Hwang
Project Support: Vineela Nalla, Samuel Payne
*In collaboration with Dr. Hari Trivedi from Emory University School of Medicine
03
Racial Disparity in Speech-to-text Applications in Clinics
Project Lead: MinJae Woo
Project Support: Alex Seal, Taylor Miller, Samuel Payne
04
Machine Learning to Understand and Address Racial Disparities in Postpartum Hemorrhage
Project Lead: Yihong Zhang
Project Support: Not yet assigned
*In collaboration with Dr. Judy Gichoya from Emory University School of Medicine
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05
Development of Automated Screening Models for Mobile-based Self-screening of Oral Lesions for Early Cancer Detection
Project Lead: MinJae Woo
Project Support: Yihong Zhang
*In collaboration with Dr. Reshma Menon from Harvard University School of Dental Medicine
06
Retrospective Analysis of Racial Disparity in Foster Care Waiting Time in the United States
Project Lead: Taylor Miller
Project Support: Yihong Zhang
07
Evaluation of Various Training Data Augmentation Techniques in Breast Cancer Detection
Project Lead: Samuel Payne
Project Support: Vanessa Sunar
08
Deep Learning on Tabular Data for Predicting 30-day-readmission in Upstate South Carolina
Project Lead: Alex Seal
Project Support: Not yet assigned
*In collaboration with Dr. Yunsik Choi from Meredith College School of Business
