Lantern Pharma’s Proprietary A.I. Platform Surpasses 450 Million Data Points Accelerating Oncology Drug Development and Drug Response Prediction

Lantern Pharma, a clinical stage biotechnology company focused on leveraging artificial intelligence (“A.I.”), machine learning and genomic data to streamline the drug development process and to identify the patients that will benefit from its targeted oncology therapies, announced today that it surpassed the milestone of 450 million curated data points being utilized in its proprietary A.I. and machine learning-powered platform, RADR® (Response Algorithm for Drug Positioning and Rescue).

RADR® leverages genomic, transcriptomic, clinical and drug sensitivity data points across more than 145 drug-tumor interactions to predict the potential response cancer patients will have to potential drugs, therefore enabling a more personalized approach to therapy that is aimed at better outcomes. Lantern is establishing collaborations and partnerships to expand the functionality of RADR®, including algorithms that can operate 200 to 300 percent faster than its existing algorithms, enabling the company to develop robust gene signatures that can be used to guide patient enrollment in trials and as a companion diagnostic (CDx). During the most recent data enrichment campaign, Lantern focused on significantly increasing the depth and amount of data for: non-small cell lung cancer, ovarian cancer, glioblastoma, and gliomas. Reaching this milestone of over 450 million curated data points for oncology drug development will bring greater precision and speed in helping Lantern with its objective of personalizing oncology therapy with reduced risk and cost.