BlackThorn Raises $76m To Personalize Medicines For Neurobehavioral Disorders

BlackThorn's series B round will fund the use of AI and machine learning via its PathFinder platform and academic collaborations for the development of targeted therapies.

MR  image of Human brain
BlackThorn uses AI and machine learning to find neurobehavioral drug targets. • Source: Shutterstock

BlackThorn Therapeutics Inc. put its $54m in series A venture capital funding to work, emerging with a refined artificial intelligence and machine learning (AI/ML) platform for the development of personalized medicines to treat neurobehavioral disorders and with a drug in the clinic. On 13 June, the company said it has raised $76m in series B cash to advance its lead drug candidate and take a second program into human studies.

San Francisco-based BlackThorn launched in October 2016 with a $40m series A round that was expanded a few months later by $14m. (Also see "VC Roundup: Infectious Disease Startup Snags $150m And Former Biogen CEO Scangos" - Scrip, 8 January, 2017

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