British artificial intelligence firm announces exclusive license agreement with Janssen for clinical stage drug candidates, facilitated by Johnson & Johnson Innovation.
BenevolentAI, a British artificial intelligence (AI) company has announced significant progress in one of its key ambitions; to improve and innovate the drug development process using AI technology and provide the best medicines to the right patients. BenevolentAI has signed an exclusive license for a series of novel clinical stage drug candidates with Janssen Pharmaceutica NV, one of the Janssen pharmaceutical companies of Johnson & Johnson. The agreement was facilitated by the Johnson & Johnson Innovation Center in London.
BenevolentAI has acquired a license to a select number of novel clinical stage drug candidates and their extensive related portfolio of patents. BenevolentAI scientists leveraged the AI technology to evaluate the potential of these small molecule compounds. The results indicate that there is strong promise to develop new medicines for hard to treat diseases.
Under the terms of the license agreement, BenevolentAI will have the sole right to develop, manufacture and commercialize these novel drug candidates in all indications and in all territories. This agreement will enable BenevolentAI to accelerate its development pipeline and use its unique artificial intelligence technology to explore and provide a rich source of clinical data. BenevolentAI intends to begin late stage Phase IIb clinical trials in mid 2017. Financial terms were not disclosed.
“The agreement adds further depth to our clinical and pre-clinical development pipeline and marks a very exciting time for the role of artificial intelligence to benefit scientific discovery and humanity,” Jackie Hunter, board director of BenevolentAI and CEO of BenevolentAI Bio, said in a press statement. “The compounds come with a wealth of clinical and biological data that enables BenevolentAI to have further insights into the biology of diseases.”
(Source: PR Newswire)
Filed Under: Drug Discovery
