Research

• TWIN: Personalized Clinical Trial Digital Twin Generation

Trisha Das, Zifeng Wang, and Jimeng Sun. 2023. TWIN: Personalized Clinical Trial Digital Twin Generation. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23). Association for Computing Machinery, New York, NY, USA, 402–413. https://doi.org/10.1145/3580305.3599534

• Using artificial intelligence to learn optimal regimen plan for Alzheimer’s disease

Kritib Bhattarai and others, Using artificial intelligence to learn optimal regimen plan for Alzheimer’s disease, Journal of the American Medical Informatics Association, 2023;, ocad135, https://doi.org/10.1093/jamia/ocad135

• Leveraging multi-source to resolve inconsistency across pharmacogenomic datasets in drug sensitivity prediction

Das, Trisha, et al. "Leveraging multi-source to resolve inconsistency across pharmacogenomic datasets in drug sensitivity prediction." medRxiv (2023): 2023-05.

• STELAR: A statistically consistent coalescent-based species tree estimation method by maximiz-

ing triplet consistency

Islam, M., Sarker, K., Das, T. et al. STELAR: a statistically consistent coalescent-based species tree estimation method by maximizing triplet consistency. BMC Genomics 21, 136 (2020). https://doi.org/10.1186/s12864-020-6519-y

• eMED-DNA: An in silico operating system for clinical medical data storage within the human

genome