Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System. - Kory Kreimeyer; Oanh Dang; Jonathan Spiker; Monica A. Muñoz; Gary Rosner; Robert Ball; Taxiarchis Botsis (Comput. Biol. Medicine, 2021)

Overcoming Major Barriers to Build Efficient Decision Support Systems in Pharmacovigilance. - Kory Kreimeyer; Jonathan Spiker; Taxiarchis Botsis (ICIMTH, 2022)

A Precision Oncology Platform to Support Genotype-Tailored Therapy Selection. - Taxiarchis Botsis; Jonathan Spiker; Kory Kreimeyer; Maria Fatteh; Jamie Wehr; Mimi Najjar; Jessica Tao; Rena Xian; Nicole L. Imamovic; Ander Pindzola; Adrian Dobs; Jenna V. Canzoniero; et al. (MIE, 2024)

AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology. - Ting He; Kory Kreimeyer; Mimi Najjar; Jonathan Spiker; Maria Fatteh; Valsamo Anagnostou; Taxiarchis Botsis (CoRR, 2024)

Deduplicating the FDA adverse event reporting system with a novel application of network-based grouping. - Kory Kreimeyer; Jonathan Spiker; Oanh Dang; Suranjan De; Robert Ball; Taxiarchis Botsis (J. Biomed. Informatics, 2025)