Eshan Momin is an undergraduate student researcher with the Madabhushi Lab. While pursuing a bachelors degree in economics and artificial intelligence in the Emory College of Arts and Sciences, Eshan has been working with the lab on AI-based image analysis of oral cavity cancer and of cardiovascular disease.
He specifically is working on two projects. The first is Engineering Novel Tissue-derived Biomarkers for Oral Cavity Cancer Recurrence from Hematoxylin and Eosin Biopsy Slides. This project is focused on developing a biomarker that quantifies lymphocyte–tumor spatial interactions from H&E pathology images in oral cavity cancer. Eshan curated multi-institutional datasets, built a deep learning pipeline for lymphocyte segmentation and spatial feature extraction, and independently performed Cox survival modeling with external validation while working with pathologists to ensure clinical relevance and explainability.
He also gained experience building reproducible machine learning and survival analysis pipelines that generalize across external cohorts.
His second project is Developing a Novel Radiomics Model from Non-contrast Computed Tomography Scans for Heart Failure and Valvular Disease Outcome Prediction Compared to Clinical Risk Scores. For this project, Eshan ehlped develop radiomics and AI-based biomarkers from cardiac CT by segmenting heart chambers and extra-cardiac organs such as the liver for quantitative feature extraction for cardiovascular risk prediction. He built automated segmentation and radiomics pipelines, integrated imaging features with clinical data, and performed survival modeling to evaluate prediction of heart failure and cardiovascular outcomes.
Eshan is well on his way toward a career applying and implementing AI-based screening to imaging for chronic disease prediction and prevention.