Innovative AI Tool for Cancer Research Powered by Indiana University’s Jetstream2

By Kimberly Mann Bruch, SDSC
1's and 0's provide the backdrop for digitally recreated biochemicals.

Han Liang, the Barnhart Family Distinguished Professor at the University of Texas MD Anderson Cancer Center, has harnessed the power of Indiana University’s Jetstream2 computational resource to develop DrBioRight 2.0, an AI-powered chatbot for cancer bioinformatics data.

“Thanks to U.S. National Science Foundation (NSF) ACCESS allocations on Jetstream2, a high-performance cloud computing infrastructure based at Indiana University, we were able to enable worldwide scientists to intuitively explore and analyze large-scale cancer proteomics and multi-omics datasets through natural language queries and interactive visualizations,” Liang said. “The DrBioRight 2.0 platform enhances cancer research by allowing users, regardless of computational expertise, to access complex data insights quickly and accurately.”

The jetstream2 supercomputer.
Jetstream2, which offers cutting-edge virtual supercomputing power and extensive data storage, was utilized by Liang and team to pair DrBioRight 2.0’s multi-agent workflow with large language models to significantly increase the success rate in addressing complex biomedical queries.

Details regarding DrBioRight 2.0 have been published in Nature Communications.

This collaboration between the University of Texas MD Anderson Cancer Center and NSF ACCESS highlights how national-scale supercomputing resources like Jetstream2 are pivotal in accelerating transformative biomedical discoveries and supporting the national research community.


Resource Provider Institution(s):   Indiana University (IU)
Resources Used: Jetstream2
Affiliations: University of Texas MD Anderson Cancer Center
Funding Agency: NSF 
Grant or Allocation Number(s): CIS240841

The science story featured here was enabled by the U.S. National Science Foundation’s ACCESS program, which is supported by National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296.

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