TL1 TR001428, UL1 TR001427: A TL1 Team Approach to Topological Data Analysis for Interpretation of Medical Images and Risk Stratification in COVID-19

PIs:
Osama Dasa, MD, MPH, PhD Candidate
Yara Skaf, BS, MD-PhD Candidate
Parent: TL1 TR001428, UL1 TR001427: Together: Transforming and Translating Discovery to Improve Health
Thomas A. Pearson, MD, MPH, PhD
Wayne T. McCormack, PhD

Project Summary

Topological data analysis (TDA), a set of computational tools stemming from an area of mathematics called topology, can be used to enhance traditional analytic techniques for biomedical image analysis and patient stratification by mortality risk.

Publications

Skaf Y, Laubenbacher R. Topological data analysis in biomedicine: A review. J Biomed Inform. 2022 Jun;130:104082. doi: 10.1016/j.jbi.2022.104082. Epub 2022 May 1. PMID: 35508272.

Brunson JC, Skaf Y. Fixed and adaptive landmark sets for finite pseudometric spaces. 2022 Dec 21. arXiv: 2212.09826