A.I. for Drug Development

Published 2020-03

In 2018 and 2019, drug companies ramped up research to determine if A.I. could be used at every phase of drug development, from hypotheses, picking better compounds and identifying better drug targets to designing more successful clinical trials and tracking real-world outcomes.

Source

Verdict

persistedThe same trend is listed again within the publisher's next two editions (D33).

Continued as ftsg-tech-trends-2021-023

AI for drug development and AI-first drug discovery: same trend, wording variant.

A trend is graded on whether the publisher keeps it, never as a hit or a miss (D6, D33).

In our research

WintermuteAI-Powered Drug Discovery Platforms
HelixAI Drug Discovery Platformsnarrower
HelixAI-Driven Drug Discoverynarrower
HelixAI-Driven Drug Discoverynarrower
HelixAI-Driven Drug Discovery Platformsnarrower

All captured fields

rank: 54
section: Artificial Intelligence
subsection: Consumer Products and Services
subject: A.I. for Drug Development
page: 46
confidence: medium
note: Title from the contents list in the SlideShare transcript of the publisher upload; order and section from contents page numbers. Quote added 2026-10-02 from the full slide transcript of the publisher upload (SlideShare, Wayback capture of the newer page format); source_url points at the section that holds the page.