Artificial Intelligence for Drug Development

SamBlake

I've been researching this topic for a bit and have made the following list of ways that AI can help expedite the drug development process:

-Gaining novel insight about diseases to inform new hypotheses for drug discovery
-Identifying new targets for therapeutics
-Accelerating the development of molecular compounds used for treatment
-Developing biomarkers of aging
-Discovering new purposes for existing drugs (which have, incidentally, already been deemed safe
-Testing safety and efficacy of drugs through trial simulations
-Improving inclusion/exclusion criteria for identifying and screening trial participants
-Running pre-trial simulations to inform whether a full-on clinical trial design should be pursued or altered
-Informing trial design decisions to increase likelihood of success
-Supporting post-trial analysis of drug safety and efficacy by analyze real-world data
-Using personal data (e.g. from a digital avatar) to design and prescribe precision medicine

Any feedback on this list -- inaccuracies, omissions, etc. -- would be much appreciated!!!

NickOttens

@AlexZhavoronkov, since you're using artificial intelligence at Insilico for drug development, you may be able to tell us how promising these various points are.

If you agree AI is a potential remedy to the slow pace of drug development and approval, please up-vote @SamBlake's comment!

AlexZhavoronkov

Hi Nick and Sam,

I agree with Sam, I did post this review and perspective on AI:

https://www.sciencedirect.com/science/article/pii/S156816371830240X?via=ihub

SamBlake

@AlexZhavoronkov Yes, your article was very helpful for this chunk of research. Thanks!

NickOttens

@maxinemack, what are your thoughts on the application of AI to drug development?

If you think @SamBlake has it right, please vote up his idea!