Implementing an Urban Public Health Observatory for (Near) Real-Time Surveillance for the COVID-19 Pandemic. - Whitney S. Brakefield; Nariman Ammar; Olufunto A. Olusanya; Esra Ozdenerol; Fridtjof Thomas; Altha J. Stewart; Karen C. Johnson; Robert L. Davis; David L. Schwartz; Arash Shaban-Nejad (EFMI-STC, 2020)

PRESIDE: A Judge Entity Recognition and Disambiguation Model for US District Court Records. - Adam R. Pah; Christian J. Rozolis; David L. Schwartz; Charlotte S. Alexander; SCALES O. K. N. Consortium (IEEE BigData, 2021)

From data to information: automating data science to explore the U.S. court system. - Andrew Paley; Andong L. Li Zhao; Harper Pack; Sergio Servantez; Rachel F. Adler; Marko Sterbentz; Adam R. Pah; David L. Schwartz; Cameron Barrie; Alexander Einarsson; Kristian J. Hammond (ICAIL, 2021)

The Promise of AI in an Open Justice System. - Adam R. Pah; David L. Schwartz; Sarath Sanga; Charlotte S. Alexander; Kristian J. Hammond; Luis A. Nunes Amaral; SCALES O. K. N. Consortium (AI Mag., 2022)

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2022)

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)

Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2023)

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)

Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study. - Soheil Hashtarkhani; David L. Schwartz; Arash Shaban-Nejad (CoRR, 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)