Skip to content

Enterprise AI

Drug discovery AI

Using AI to support steps in finding and developing potential medicines.

Example

An AI system prioritizes molecules for laboratory investigation.

Why people use it

It helps researchers narrow down possibilities worth investigating in the laboratory.

What you'll hear

“Which molecules should we investigate first?”

What this means for you

Distinguish a computer-based prediction from demonstrated safety and effectiveness.

Can you control it?

Sometimes

Sometimes. Your choices depend on the tool and your access. The settings available to an everyday user may differ from those available to the people running it.

Common questions

Can AI help study existing medicines too?
Yes. Researchers can use it to investigate other possible uses or properties of medicines already known.
Can a promising computer result fail in experiments?
Yes. Real biological behavior can differ from the system's prediction.
Does faster candidate selection remove later testing?
No. Safety and effectiveness still require appropriate experimental and clinical evidence.

Related terms

Still have questions?

Up to 500 characters.

Ask LATHIC about AI. Relevant glossary entries may be included.

Your question, the glossary entries it matches, and a rotating pseudonymous identifier go to Microsoft Azure’s OpenAI service through Vercel AI Gateway to generate an answer. Zero retention and no training are required of the provider, and LATHIC does not save your question or answer. Privacy Notice