Feb 13 2022


Artificial Intelligence to Predict Clinical Trial Readiness of Drug Candidates challenge

What is this challenge all about?

In the drug discovery field, clinical testing in human patients is the most expensive and difficult step.
Advances in biological technology allow us to generate massive pre-clinical data in cells and animal, learn from a huge amount of literature on genes, pathways and diseases and learn from our previous experience in translational medicine. However, we still fail 25% of the time on toxicity in humans and about 50% of the time on efficacy (source: https://www.nature.com/articles/nrd.2016.184).

In this challenge, we are looking for a system that will ingest all the pre-clinical data that exists on a drug of interest and deliver potential safety liabilities that were overlooked and predict the likelihood of potential desired effects in humans. In addition, given everything the system has seen before, we expect the system to provide suggestions for experiments that could address the identified gaps.



I have my own great idea. What is the advantage of joining AION Labs vs trying to create my own company?

I already have a company in the pharma AI area – Can I join AION Labs regardless of the specific challenge?

How is AION Labs different from any other incubator?

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