A Digital Personal Health Library for the Management of Abortion-Related Care via Telemedicine. - Fekede Asefa Kumsa; Brianna White; Nupur Singh; Nariman Ammar; Arash Shaban-Nejad (EFMI-STC, 2023)

Evaluating the Effects of Misinformation on Public Sentiments Surrounding Access to Abortion Through Social Media Sentiment Analytics. - Brianna White; Fekede Asefa Kumsa; Nupur Singh; Chad A. Melton; Arash Shaban-Nejad (EFMI-STC, 2023)

Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy. - Arash Shaban-Nejad; Nariman Ammar; Fekede Asefa Kumsa; Soheil Hashtarkhani; Brianna White; Lokesh K. Chinthala; Chase A. Owens; Neil Hayes; David L. Schwartz (MedInfo, 2023)

Medication abortion via digital health in the United States: a systematic scoping review. - Fekede Asefa Kumsa; Rameshwari Prasad; Arash Shaban-Nejad (npj Digit. Medicine, 2023)

An Explainable AI Data Pipeline for Multi-Level Survival Prediction of Breast Cancer Patients Using Electronic Medical Records and Social Determinants of Health Data. - Soheil Hashtarkhani; Shelley White-Means; Sam Li; Rezaur Rashid; Fekede Asefa Kumsa; Cindy Lemon; Lluvia Chipman; Jill Dapremont; Brianna White; Arash Shaban-Nejad (IEEE Big Data, 2024)

AI-Ready Multimodal Data Pipeline to Enrich Cancer Care. - Rezaur Rashid; Soheil Hashtarkhani; Fekede Asefa Kumsa; Lokesh K. Chinthala; Brianna M. White; Janet A ZinK; Christopher L. Brett; Robert L. Davis; David L. Schwartz; Arash Shaban-Nejad (IEEE Big Data, 2024)

Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach. - Soheil Hashtarkhani; Yiwang Zhou; Fekede Asefa Kumsa; Shelley White-Means; David L. Schwartz; Arash Shaban-Nejad (CoRR, 2025)