BullFrog AI Announces Licensing Agreement with Johns Hopkins University for Oncology Asset

Mebendazole prodrug license further expands the Company’s development pipeline, which includes a Phase 2 ready novel formulation of mebendazole for cancer treatment

BullFrog AI Holdings, a digital technology company using machine learning to usher in a new era of precision medicine, announced an exclusive license agreement with Johns Hopkins University for prodrug compositions of mebendazole. The exclusive license was signed on October 13, 2022.

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The world-wide, royalty-bearing license includes the rights to commercialize N-substituted prodrugs of mebendazole that demonstrate improved solubility and bioavailability relative to the parent compound. The license covers prodrug compositions and use for treating disease as claimed in multiple US and worldwide patent applications.

“This asset is another key addition to our oncology development pipeline and provides us with an opportunity to demonstrate how our AI/ML technology can turn promising drug candidates into tangible therapies in a cost-effective and efficient manner,” said BullFrog AI’s founder and CEO, Vin Singh, “We are extremely proud of our expanding relationship with Johns Hopkins. We look forward to working with strategic partners to advance the development and monetize this promising asset for the treatment of glioblastoma and possibly additional oncology indications.”

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BullFrog AI is a digital technology company using machine learning to usher in a new era of precision medicine. Through its collaborations with leading research institutions, including Johns Hopkins University, BullFrog AI is at the forefront of AI-driven drug development. Using its proprietary bfLEAP™ artificial intelligence platform, BullFrog AI aims to enable the successful development of pharmaceuticals and biologics by predicting which patients will respond to therapies in development. BullFrog AI is deploying bfLEAP™ for use at several critical stages of development with the intention of streamlining data analytics in therapeutics development, decreasing the overall development costs by decreasing failure rates for new therapeutics, and impacting the lives of countless patients that may have otherwise not received the therapies they need.

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