Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis. - Xia Jiang; Alan Wells; Adam Brufsky; Darshan Shetty; Kahmil Shajihan; Richard E. Neapolitan (BMC Bioinform., 2020)

Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction of Breast Cancer Metastasis Using EHR-based Clinical Data. - Xia Jiang; Yijun Zhou; Chuhan Xu; Adam Brufsky; Alan Wells (CoRR, 2024)

Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9. - Xia Jiang; Yijun Zhou; Alan Wells; Adam Brufsky (CoRR, 2024)

Multi-modal AI for comprehensive breast cancer prognostication. - Jan Witowski; Ken Zeng; Joseph Cappadona; Jailan Elayoubi; Elena Diana Chiru; Nancy Chan; Young-Joon Kang; Frederick Howard; Irina Ostrovnaya; Carlos Fernandez-Granda; Freya Schnabel; Ugur Ozerdem; et al. (CoRR, 2024)