Dilán-Pantojas, I.O., Boonchalermvichien, T., Taneja, S.B. et al. Broadening the capture of natural products mentioned in FAERS using fuzzy string-matching and a Siamese neural network. Sci Rep 14, 1272 (2024). DOI:

Li X, Ndungu P, Taneja SB, Chapin MR, Egbert SB, Akenapalli K, Paine MF, Kane-Gill SL, Boyce RD. An evaluation of adverse drug reactions and outcomes attributed to kratom in the US Food and Drug Administration Adverse Event Reporting System (FAERS) from January 2004 through September 2021. Clin Transl Sci. 2023; 00: 1- 10. DOI: 10.1111/cts.13505

Taneja SB, Callahan TJ, Paine MF, Kane-Gill SL, Kilicoglu H, Joachimiak MP, Boyce RD. Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions. Journal of Biomedical Informatics. 2023. DOI:

Malec SA, Taneja SB, Albert SM, Shaaban CE, Karim HT, Levine AS, Munro PW, Callahan TJ, Boyce RD. Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: a use case studying depression as a risk factor for Alzheimer’s disease. Journal of Biomedical Informatics. 2023. DOI:

Sidani, J.E., Hoffman, B.L., Colditz, J.B., Melcher, E., Taneja, S.B., Shensa, A., Primack, B., Davis, E. and Chu, K.H., 2022. E-Cigarette-Related Nicotine Misinformation on Social Media. Substance Use & Misuse, pp.1-7. DOI: 10.1080/10826084.2022.2026963

Taneja SB, Callahan TJ, Brochhausen M, Paine MF, Kane-Gill SL, Boyce RD. Designing potential extensions from G-SRS to ChEBI to identify natural product-drug interactions. Intelligent Systems for Molecular Biology/European Conference on Computational Biology (ISMB/ECCB), 2021.

Taneja, S., Boyce, R., Reynolds, W., & Newman-Griffis, D. “Introducing Information Retrieval for Biomedical Informatics Students.” Proceedings of the Fifth Workshop on Teaching NLP, Association for Computational Linguistics, 2021, pp. 96–98. ACLWeb,

Taneja, S.B., Douglas, G.P., Cooper, G.F., Michaels, M.G., Druzdzel, M.J., Visweswaran, S. Bayesian network models with decision tree analysis for management of childhood malaria in Malawi. BMC Med Inform Decis Mak 21, 158 (2021).

Hoffman BL, Colditz JB, Shensa A, Wolynn R, Taneja SB, Felter EM, Wolynn T, Sidani JE. #DoctorsSpeakUp: Lessons learned from a pro-vaccine Twitter event. Vaccine. 2021 May 6;39(19):2684-2691. doi: 10.1016/j.vaccine.2021.03.061.

Visweswaran S, Colditz JB, O’Halloran P, Han NR, Taneja SB, Welling J, Chu KH, Sidani JE, Primack BA, Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study, J Med Internet Res 2020;22(8):e17478, URL:, DOI: 10.2196/17478

Sidani JE, Colditz J, Shensa A, Melcher E, Taneja SB, Hoffman BL, Davis E, James AE, Primack BA, Chu KH. Identifying Contexts and Dissemination Patterns Of Electronic Nicotine Delivery System (Ends) Misinformation On Social Media. In Annals Of Behavioral Medicine 2020 May 1 (Vol. 54, Pp. S186-S186)

Hoffman BL, Colditz JB, Sidani JE, Davis EM, Taneja SB, James AE, Primck BA, Morris A, Brink L, Lynch M, Rose JJ, Chu KH. Correlation Of Twitter Data To Reported Cases Of E-cigarette Or Vaping Product Use-associated Lung Injury (EVALI). Poster Presentation. 2020 American Thoracic Society International Conference. May 17, 2020. (Canceled due to COVID)

Gupta A, Taneja SB, Malik G, Vij S, Tayal DK, Jain A. SLANGZY: a fuzzy logic-based algorithm for English slang meaning selection. Progress in Artificial Intelligence. 2019 Apr 1;8(1):111-21.

Abhishek, A., Taneja, S. B., Malik, G., Anand, A., & Awekar, A., Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. Presented at the Automated Knowledge Base Construction (AKBC) Conference, 2019