With the increasing number of startups using artificial intelligence in drug discovery, and pharma companies partnering with them, novel drugs and drug uses are headed to the clinic. To track them, this article summarizes the AI in drug discovery pipeline.

I do my best to keep this post up to date, but it's not easy. Not every company maintains a transparent and updated pipeline page. And several that do only disclose minimal details. So if you have information, please share it by email or in the comments.

Also, note that the number of drugs the title refers to doesn't include multiple indications for the same drug. Nor does it include "undisclosed" drugs. So it is a significant underestimate of the total pipeline. The full list below, however, shows everything, including multiple indications, and undisclosed compounds.

The AI in drug discovery pipeline

And there you have it, the AI in drug discovery pipeline, as far as I know it. Did I get anything wrong? Am I missing anything? Please let me know in the comments or by email.

And if you're craving more information on this topic, see my posts on startups using AI in drug discovery, pharma companies using AI in drug discovery, and AI in drug discovery trends and statistics.