On October 29, 2019 Lantern Pharma, a clinical stage oncology biotech leveraging A.I., machine learning (ML) and genomics, reported that it has selected Reprocell to provide preclinical screening and drug sensitivity work for its portfolio of oncology drugs (Press release, Lantern Pharma, OCT 29, 2019, View Source;utm_medium=rss&utm_campaign=lantern-pharma-selects-reprocell-inc-to-provide-preclinical-screening-and-biomarker-discovery-services-for-portfolio-of-targeted-oncology-drugs [SID1234549976]).
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The collaboration is designed to obtain millions of data points using panels of unique and genetically edited cell lines from various tumors. The data generated from these studies will help Lantern’s AI platform to generate the biological and genetic basis for drug positioning and maximum drug efficacy. Lantern believes this will help bring oncology therapies to patients more efficiently and affordably than traditional R&D efforts.
These collaborative studies will help demonstrate the tremendous potential for patient stratification for cancer therapies. Following the acquisition of data on cell line panels, Reprocell and Lantern will continue to develop subsequent models including 3D, organoid, and PDX models in the drugs journey from preclinical to clinical stages.
"We are pleased to announce this partnership with Reprocell, a relationship we believe will fuel innovation founded on our mutual abilities to leverage highly advanced cell biology data and rapid A.I.-based machine learning to draw relevant and unique conclusions related to drug development," said Panna Sharma, CEO of Lantern Pharma. "We anticipate this collaboration resulting in a clear vision of how to leverage the initial screening of efficacy of our active compounds against a variety of tumors, and how that data can inform personalized treatment decisions for patients."