BullFrog AI Highlights Nearly Threefold Increase in Survival Rates in Pancreatic Cancer Trial
BullFrog AI highlights the presentation of data derived from the use of the Company's proprietary platform bfLEAP with pancreatic cancer trial data to identify an almost three times increase in mean survival from the control to treatment arms. The data will be presented at the 2026 American Society of Clinical Oncology Gastrointestinal Cancers Symposium on Jan. 9 at poster session B. "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," said BullFrog AI Founder and CEO Vin Singh. "Too much time and capital are wasted in drug development traveling down incorrect pathways, ultimately leaving patients without effective treatments. The power of bfLEAP and bfPREP is their ability to give drug developers a clear path forward based on previous data and indicators to focus on key benchmarks, limiting the amount of wasteful spending on less-than-ideal targets."
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BullFrog AI Releases White Paper on Data Harmonization in Life Sciences
- Importance of Data Harmonization: BullFrog AI's white paper emphasizes that data harmonization is a hidden prerequisite for reliable AI/ML analysis, aiming to transform complex biomedical data into actionable insights through bfPREPTM, thereby enhancing drug development success rates.
- Technological Advantage: The company leverages bfPREPTM to quickly identify and standardize fragmented biomedical data, ensuring dataset reliability, allowing research teams to focus more on interpreting results and study design rather than data processing.
- Challenges in AI Pipelines: The white paper highlights that modern AI pipelines often fail in life sciences due to peculiarities in data processing, and BullFrog AI proposes a practical harmonization framework built on three pillars to address these issues and improve data analysis effectiveness.
- Enhancing Clinical Trial Success Rates: By utilizing bfPREPTM, BullFrog AI aims to reduce clinical trial failure rates, enabling teams to utilize data more efficiently and accelerate drug discovery and development processes, further solidifying its market position in the biopharma sector.

BullFrog AI Releases 2025 Shareholder Letter, Outlines 2026 Commercialization Goals
- Technological Advancement: In 2025, BullFrog AI made significant strides in technology, transitioning from platform development to commercialization, which is expected to drive rapid commercial engagement in 2026 and enhance the company's competitiveness in the pharmaceutical industry.
- Commercial Collaboration: The partnership with Sygnature Discovery is anticipated to generate significant revenue through 2028, as its global business development team actively promotes BullFrog Data Networks™ to biopharma clients, thereby expanding market reach.
- Data Preparation Tool: The launch of bfPREP™ significantly reduces data preparation timelines from months to days, enhancing BullFrog AI's ability to engage earlier in the drug development process and facilitating deeper analytical collaborations.
- Capital Management: BullFrog AI maintains an annual burn rate of approximately $6.2 million, and its flexible capital allocation strategy allows each significant partnership to potentially improve financial conditions substantially, supporting future growth investments.









