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April 16, 2019
Gilead and insitro Announce Strategic Collaboration to Discover and Develop Novel Therapies for Nonalcoholic Steatohepatitis
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20190416005296/en/
Under the terms of the three-year collaboration, insitro’s proprietary platform will be utilized to create disease models for NASH and discover targets that have an influence on clinical progression and regression of the disease. The insitro Human (ISH) platform applies machine learning, human genetics and functional genomics to generate and optimize unique in vitro models and drive therapeutic discovery and development. The ISH platform will provide insights into disease progression, suggest candidate targets, and predict patient responses to potential therapeutic interventions. Gilead can advance up to five targets identified through this collaboration and will be responsible for chemistry and development against these targets.
“Gilead is committed to researching and developing treatments for patients living with NASH, particularly those with advanced fibrosis who have the greatest unmet need,” said
“NASH is a progressive liver disease that can lead to fibrosis, cirrhosis, and liver cancer and will soon be the predominant cause of liver transplantation in the U.S.,” said
Under the terms of the agreement, insitro will receive an upfront payment of
Nonalcoholic steatohepatitis (NASH) is a chronic form of liver disease characterized by excess fat in the liver, inflammation, and liver cell damage. Inflammation and liver cell damage can cause scarring of the liver, or fibrosis, and ultimately lead to cirrhosis or liver cancer. NASH is more common in people with certain conditions, including obesity and type 2 diabetes. There are currently limited approved treatments for patients living with NASH.
insitro is a data-driven drug discovery and development company that uses machine learning to transform the way that drugs are discovered and delivered to patients. By generating high-throughput, functional genomic data sets that align with patient data, and interpreting those data via novel machine learning methods, insitro builds predictive models that can accelerate target selection and the design of effective therapeutics. The company is building a high-throughput bio-data factory based on state-of-the-art technologies from bioengineering, allowing the creation of large data sets that enable cutting edge machine learning methods to be brought to bear on key bottlenecks in drug development. insitro was launched in 2018 with a Series A of over
Gilead Forward-Looking Statement
This press release includes forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 that are subject to risks, uncertainties and other factors, including the risk that the parties may not realize the potential benefits of this collaboration and Gilead may fail to develop and/or commercialize any product candidates from this collaboration. All statements other than statements of historical fact are statements that could be deemed forward-looking statements. These risks, uncertainties and other factors could cause actual results to differ materially from those referred to in the forward-looking statements. The reader is cautioned not to rely on these forward-looking statements. These and other risks are described in detail in Gilead’s Annual Report on Form 10-K for the year ended
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