Pipeline

Advancing Medicine through Artificial Intelligence

Therapeutic Pipeline

BullFrog AI has entered into exclusive, worldwide agreements with major US biomedical institutions to in-license assets for clinical development.

Our most advanced clinical candidate is a repositioned small molecule therapeutic, uniquely formulated for maximum utility against various cancers. The lead indication for this small molecule is glioblastoma, with subsequent programs anticipated for several other undisclosed indications. Our second drug candidate is a novel nucleic acid therapeutic for several interrelated liver diseases including cancer, obesity, non-alcoholic steatohepatitis (NASH), and non-alcoholic fatty liver disease (NAFLD). BullFrog’s third therapeutic program is an exclusive co-development project to design, generate, and validate a novel, precision-engineered oncolytic virus against colorectal cancer.

Drug
Indication
Discovery
Preclinical
Phase 1
Phase 2
Phase 3
Status
BF-222 (small molecule)
Glioblastoma
Exclusive License
BF-114
Liver Cancer (HCC)
Exclusive License
BF-114
Morbid Obesity
Exclusive License
BF-114
NASH
Exclusive License
BF-114
NAFLD
Exclusive License
Pending
Colorectal Cancer
Exclusive Co-Dev

Our bfLEAP ™ AI/Unsupervised machine-learning platform identifies relationships and correlations from complex data structures. We are leveraging this capability to:

  • Identify patient populations where a drug candidate may be more likely to show higher efficacy or reduced toxicity
  • Analyze EHR databases to identify unrecognized associations among therapeutic regimens, patient outcomes, and drug side effects that can be used to improve healthcare decisions
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Rescue

The bfLEAP™ platform offers the potential to rapidly identify previously unrecognized correlations and patterns within clinical data sets. This provides the opportunity to rescue failed drug candidates or repurpose drugs for new indications.

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Clinical

For drug candidates in development, our bfLEAP™ platform analyzes clinical trial data to identify correlates associated with favorable patient response to treatment, thereby informing inclusion/exclusion criteria and increasing the likelihood of success.

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