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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.

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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

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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

Family Time
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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

Emergency Rooms