Machine Learning

Unlearn Closes $50 Mn Series B Funding to Advance Clinical Trials

Unlearn

Led by Insight Partners, financing builds on the company’s momentum in working with leading biopharmaceutical companies to improve clinical trial efficiency and increase confidence in results

UnlearnĀ®, developer of the first machine-learning technology that creates digital twins of patients in clinical trials to enable smaller, faster studies, today announced that it has closed a $50 million Series B funding round. The financing was led by New York-based global venture capital and private equity firm Insight Partners with participation from new investor Radical Ventures, as well as all of the company’s existing investors including 8VC, DCVC, DCVC Bio and Mubadala Capital Ventures. Through its investment, Dylan Morris, Managing Director, Insight Partners, has joined the Unlearn Board of Directors.

Unlearn works with pharma sponsors, biotech companies, and academic institutions to optimize human clinical trials with TwinRCTsā„¢. A TwinRCTā„¢ is a randomized trial that uses machine learning and historical data to achieve a higher probability of success with a smaller number of patients. As in a traditional randomized controlled trial (RCT), patients are randomized to a treatment group and a control group; but, unlike a traditional trial, a digital twin is computed for every patient using a machine learning model trained on historical control data. The treatment effects for the primary and secondary outcomes can all be estimated with greater precision after correcting for each patient’s prognostic score derived from their digital twin. The European Medicines Agency (EMA) has published a draft qualification opinion indicating that this approach can be used for the primary analysis of phase II and III studies because it doesn’t introduce bias.

ā€œBy reducing the size of the control arm, more patients in a TwinRCTā„¢ have access to a potentially beneficial experimental treatment instead of a placebo. Trials can be run faster and with the same resources so that patients can receive access to more effective treatments sooner,ā€ said Dylan Morris, Managing Director at Insight Partners. ā€œTwinRCTsā„¢ not only increase trial efficiency but also provide rigorous evidence suitable for supporting regulatory decisions. We are excited to support the Unlearn team as they scale their TwinRCTā„¢ solution to make clinical trials better for patients and for sponsors.ā€

ā€œUnlearn continues to make rapid progress as we expand our work with global biopharmaceutical companies and advance productive conversations with global regulatory authorities who are committed to supporting innovation in clinical trials,ā€ said Charles Fisher, Ph.D., founder and CEO of Unlearn. ā€œThis new financing is validation of our expanding footprint in clinical trials. We are proud to have the support of this world-class syndicate of investors and welcome both Insight Partners and Radical Ventures to the Unlearn team.ā€

Ahead of the Series B, Unlearn announced aĀ multi-year collaboration with Merck KGaA, Darmstadt, GermanyĀ which is using TwinRCTsā„¢ to incorporate prognostic information from digital twins into its randomized controlled trials. This will allow Merck KGaA, Darmstadt, Germany to enable smaller control groups and generate evidence suitable for supporting regulatory decisions in its immunology pipeline.

For more such updates and perspectives around Digital Innovation, IoT, Data Infrastructure, AI & Cybersecurity, go toĀ AI-Techpark.com.

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