BullFrog AI Unveils Breakthrough in Pancreatic Cancer Treatment at ASCO GI 2026
GAITHERSBURG, Md., Jan. 06, 2026 (GLOBE NEWSWIRE) -- BullFrog AI Holdings, Inc. (NASDAQ: BFRG; BFRGW) announced significant findings from their proprietary bfLEAP® platform, revealing a remarkable threefold increase in mean survival rates for pancreatic cancer patients analyzed in recent trials. This groundbreaking data will be presented at the upcoming 2026 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO GI) on January 9, showcasing cutting-edge advancements in precision oncology.
Key Presentation Highlights
The presentation, developed in collaboration with Eleison Pharmaceuticals and the Moffitt Cancer Center, is titled “Data-driven subtyping and differential glufosfamide benefit in pancreatic adenocarcinoma.” Following the symposium, these findings will also be published in the Journal of Clinical Oncology (JCO) supplement.
Expert Commentary on the Study
Vin Singh, Founder and CEO of BullFrog AI, emphasized the importance of their platform, stating, “The glufosfamide case study in pancreatic cancer successfully showcased the utility of our platform to provide drug developers with an end-to-end analytical tool engineered to resolve multimodal biological complexity at scale. Too much time and capital are wasted in drug development traveling down incorrect pathways, ultimately leaving patients without effective treatments.”
Research Findings and Clinical Relevance
The study utilized BullFrog AI’s bfLEAP® and bfPREP™ platforms to analyze complex clinical datasets, identifying biologically meaningful patient clusters. The post-hoc analysis of the TH-CR-302 clinical trial, which compares glufosfamide to the best supportive care (BSC), discovered critical biomarkers responsible for the nearly threefold increase in survival rates in treatment participants compared to control.
Advancements in Patient Stratification
According to the research findings, ensemble approaches like bfLEAP® are capable of successfully identifying distinct patient subgroups within existing glufosfamide clinical trial data. The study revealed treatment effect heterogeneity among clusters, suggesting possible early predictors of outcomes. This reinforces the effectiveness of data-driven clustering methods in refining patient stratification and enhancing personalized treatment strategies.
About BullFrog AI and Future Prospects
BullFrog AI is dedicated to leveraging artificial intelligence and machine learning technologies to revolutionize drug discovery and development processes. Collaborating with leading research institutions, BullFrog AI utilizes causal AI alongside its proprietary bfLEAP® platform to analyze intricate biological data, aiming to elevate therapeutic development efficiency and reduce clinical trial failure rates.
Contact Information
- Investors: CORE IR - ir@bullfrogai.com
- Media: CORE PR - pr@bullfrogai.com
Safe Harbor Statement
This press release includes forward-looking statements based on assumptions about future events and expectations regarding BullFrog AI's (BFRG) performance, including projections related to financial performance, revenue, and opportunities. Actual results may differ materially due to various factors, including market changes and operational challenges.