How Insitro is applying machine learning to drug discovery

By William Smith
Insitro specialises in turning the power of machine learning onto the problem of drug discovery and development...

One of the most exciting and potentially revolutionary areas AI is impacting is medicine, whether that’s processing scans to catch markers doctors might miss or something as mundane as automating a hospital’s back-end.

AI for drug discovery

Insitro specialises in turning the power of machine learning onto the problem of drug discovery and development - traditionally a resource- and capital-intensive process that makes it exclusively the preserve of big pharma.

The San Francisco, California-based company seeks to upend that via data which is fed into predictive models. The company’s efforts are currently focused particularly on neuroscience and liver diseases - with machine learning used to carry out statistical genetics to discover targets with the most potential and aid in therapeutics design.

Revolutionary approach draws attention

Since its 2018 foundation, the company has raised almost $750mn across four funding rounds, with its latest Series C, announced yesterday, being its largest to date. The $400mn round was led by investing heavyweight the Canada Pension Plan Investment Board, alongside a raft of others including Andreessen Horowitz, BlackRock, Temasek and Softbank Investment Advisors.

“The Insitro team has developed a powerful approach to drug discovery based on the wholesale application of machine learning to every phase of the process: target identification, lead discovery, and the elaboration of highly evolved therapeutic candidates,” said Insitro board member Dr. Roger Perlmutter.

The company said it would use the funds to expand its platform and devote resources to databases.

“For Insitro, 2020 was a year of incredible growth and progress toward our founding vision of bringing the predictive powers of machine learning to drug discovery,” said Daphne Koller, Insitro’s founder and CEO. “This Series C financing, alongside our Series B in mid-2020, provides us with tremendous resources from some of the best long-term investors in biotech, and will allow us to continue to expand our work towards bringing transformative medicines to patients faster and with fewer failures.”

(Image: Insitro)


Featured Articles

IBM's Salesforce Partnering Shows watsonx's Enterprise Reach

IBM and Salesforce's expansion of their partnership shows how watsonx’s is making inroads in enterprises across sectors

Are Business and Government Diverging on AI Safety?

As the UK government seeks to expand its AI Safety Institute just as OpenAI disbands its team on long-term AI safety, we look at the gap in approach to AI

Alteryx Industry-First AI Copilot Sees New Era of Analytics

Alteryx unveils AiDIN Copilot, the first AI assistant that chats with users to build data analysis workflows

Tamr’s Anthony Deighton: Integrating AI into Enterprise Data

Data & Analytics

IBM and Tech Mahindra Seek to Power Up Gen AI Adoption


NASA's First Chief AI Officer Shows AI's Value Cross Sector

AI Strategy