Visual storytelling enhances knowledge dissemination in biomedical science. - Taxiarchis Botsis; Jennifer E. Fairman; Meghan Bridgid Moran; Valsamo Anagnostou (J. Biomed. Informatics, 2020)

An Evaluation of Pretrained BERT Models for Comparing Semantic Similarity Across Unstructured Clinical Trial Texts. - Jessica Patricoski; Kory Kreimeyer; Archana Balan; Kent Hardart; Jessica Tao; Valsamo Anagnostou; Taxiarchis Botsis (ICIMTH, 2021)

Natural Language Processing Approaches for Retrieval of Clinically Relevant Genomic Information in Cancer. - Taxiarchis Botsis; Joseph Murray; Alessandro Leal; Doreen Palsgrove; Wei Wang 249; James R. White; Victor E. Velculescu; Valsamo Anagnostou (ICIMTH, 2022)

Trends and opportunities in computable clinical phenotyping: A scoping review. - Ting He; Anas Belouali; Jessica Patricoski; Harold P. Lehmann; Robert Ball; Valsamo Anagnostou; Kory Kreimeyer; Taxiarchis Botsis (J. Biomed. Informatics, 2023)

Deep neural networks predict class I major histocompatibility complex epitope presentation and transfer learn neoepitope immunogenicity. - Benjamin Alexander Albert; Yunxiao Yang; Xiaoshan M. Shao; Dipika Singh; Kellie N. Smith; Valsamo Anagnostou; Rachel Karchin (Nat. Mac. Intell., 2023)

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)

Using Retrieval-Augmented Generation to Capture Molecularly-Driven Treatment Relationships for Precision Oncology. - Kory Kreimeyer; Jenna V. Canzoniero; Maria Fatteh; Valsamo Anagnostou; Taxiarchis Botsis (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)