Lantern Pharma AI milestone will cut cost, time and risk in developing new drug therapies

Lantern Pharma has reached a significant milestone by surpassing one billion curated data points on its RADR platform, a total it believes is the most amassed by any company in the biotech sector. The milestone, which was reached well ahead of schedule, enables new opportunities in Lantern’s work to identify and suggest combination cancer therapy programs, and the ability to compare and contrast biomarker signatures generated by a variety of machine learning algorithms.

The significance of one billion data points provides Lantern Pharma the opportunity to transform the pace, risk, and cost of oncology drug discovery and development. Current failure rates and prolonged processes have led to high developmental costs that are not sustainable for cancer patients. Utilising the RADRplatform, one billion data points brings real-world oncology data together with large-scale biomarker analytics to establish a sustainable route in oncology drug development.

The one billion data points are composed of genomic, transcriptomic and drug sensitivity data points that have been curated from both Lantern’s internal studies as well as relevant published studies and cancer datasets. These data points collected on the RADR platform allow Lantern to predict combinations of drugs that can be used together, such as Lantern’s pipeline of drug therapies, an existing drug already on the market, or an existing drug with a new type of compound that can improve efficacy in cancer patients.

“Since our IPO in June, our proprietary RADR platform has quadrupled its collection of curated data points and allowed us to meet our goal a year ahead of schedule,” said Panna Sharma, CEO of Lantern Pharma. “Our growing AI platform will be pivotal in uncovering potential new therapeutic opportunities and developing insights into the creation of combination-therapy programs.”

Achieving more than one billion data points in RADR enables Lantern to reduce the timeline in identifying new cancer therapies and in discovering how existing compounds can be aimed at the right subtypes of cancer. This is a process that can typically take years, but now, with large scale data and powerful new algorithms this process can be cut down to weeks. The growth in data points also positions Lantern for increased research activity in key cancer indications that the company is pursuing, including glioblastoma, lung cancer, prostate cancer, pancreatic cancer, and most recently, ovarian cancer. In fact, RADRis already beginning to predict how Lantern’s drugs will work with these types of cancer. The one billion, and counting, data points have saved months of time for Lantern’s team in understanding how their targeted therapies could be used with cancer patients.

The RADR platform has already provided Lantern with their three current drug compounds as well, where genomics and data-driven methods have been used to refine and accelerate the development process. These include:  LP-100 in a Phase II trial for the treatment of metastatic, hormone-refractory prostate cancer (MHRPC) which is partnered with an European biotech; LP-300 which is preparing to enter into a Phase II trial for non-small cell lung cancer (NSCLC) as a combination therapy; and LP-184 which is  in preclinical development for genomically-defined cancers, including prostate, pancreatic and glioblastoma multiforme (GBM).

Image credit: CDC


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