BullFrog AI Holdings, Inc. announced the launch of BullFrog Data Networks, a purpose-built, comprehensive data network platform that evaluates high- dimension, multi-modal data in specific disease indications to produce a customized, visual representation of previously unknown relationships and pathways. The inaugural BullFrog Data Network leverages a leading pan-cancer genomics dataset with over 10,000 primary cancer and normal samples including genomic, transcriptomic, and proteomic data. BullFrog Data Networks addresses the challenge that many pharmaceutical and biotechnology companies face -- a wealth of data with limited resources for analysis.

BullFrog Data Networks provides a customizable data analysis solution that uses machine learning to holistically evaluate data and reveals hidden insights that cannot be achieved through manual data interrogation. BullFrog Data Networks can be tailored to the needs of commercial pharmaceutical and biotechnology companies and can process a wide range of inputs, from publicly available information to proprietary and exclusively licensed datasets. The customized data network can be built in a short period, taking weeks rather than months, starting from the identification of candidate data to the presentation of answers to predefined queries.

BullFrog Data Networks will also be offered with value enhancing services providing AI-powered analytics aimed at uncovering new therapeutic targets and experimental pathways. The platform's explainable and transparent insights are visualized in an intuitive format, allowing users to examine individual nodes or clusters and understand the relationships among them. BullFrog Data Networks aim is to allow stakeholders to derive novel insights toward target identification and validation, understanding mechanism of action, clinical trial optimization, drug repurposing, and more.

Powered by the bfLEAP platform, BullFrog Data Networks comes pre-loaded with answers to central questions relevant to specific disease indications or patient populations. It is designed to be used across the product lifecycle, from target identification in early drug development to prediction of treatment response and understanding safety and tolerability of drug compounds. BullFrog Data Networks also has the potential to help optimize clinical trials by better identifying patient candidates and matching them to the right clinical trials where they can receive potentially life-saving treatment more quickly.