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Dr Raminderpal Singh, will introduce Causal AI and how incubate.bio has implemented it with biological/omics datasets for target discovery. The Causal AI method used is Bayesian network-based that was initially developed by Turing award winner Professor Judea Pearl (UCLA). Their software platform ALaSCA includes a Large Language Model approach coupled with Causal AI engine. ALaSCA generates a knowledge stack, which packaged as a Model System that can be used by scientists to find directly actionable insights for their drug discovery program.

The first release of the ALaSCA Model system is for Cancer-related diseases, and initially for focusing on the DNA Damage Response (DDR) pathway. When damaged DNA is detected within a cell the DNA damage response mechanism is activated to support repair. Mutations in genes involved in this pathway are common in cancers and promote tumor development and growth. Consequently, as understanding of the DDR pathway evolves, there has been a surge in the development of new potential cancer therapies that target the DDR pathway.

For more about Incubate Bio, as well as access to live online demo of ALaSCA: https://www.incubate.bio/

Contact: [email protected]

Date bumped to accommodate speaker.

Approximate schedule:

6:30: doors open 6:45: chitchat, announcements 7:00: talk starts 7:45: talk ends, adjourn to pub