In this free webinar, learn the important concepts to consider when implementing AI technology in drug discovery team workflow. The featured speakers will share the strengths, limitations and impact of artificial intelligence (AI) and machine learning (ML) techniques on drug discovery teams.

TORONTO, Oct. 16, 2023 /PRNewswire-PRWeb/ — Discover an informative webinar delving into the challenges and opportunities of artificial intelligence (AI) and machine learning (ML) on drug discovery teams. Everyone wants to shorten timelines, cut costs and reduce risk by implementing the silver bullet of AI and ML into their drug discovery workflow, but scientific breakthroughs are only as trustworthy as the data that initiates them.

With the average small molecule drug taking up to 15 years to get to market with a $1–2 billion investment and a 90% failure rate, companies are understandably eager to improve the process with the help of speedy, reliable computers.

In fact, the prevailing sentiment of AI and ML can be summarized by a line from a Forbes Technology Council article: “No matter how limited or simple the prior datasets, AI can come to a more accurate calculation and conclusion than a human mind.”

What is the real value-add of AI and ML for drug developers? Featured speakers from CAS, architect of the world’s largest human-curated scientific database, share the challenges and opportunities of artificial intelligence; what to keep in mind during the AI implementation journey; and its potential impact on drug discovery teams.

Join this webinar to learn about the strengths, limitations and impact of AI and ML techniques on drug discovery teams.

Join experts from CAS, Jeffrey Wilson, PhD, Data Science Manager; and Gary Gustafson, PhD, Senior Customer Success Specialist, for the live webinar on Tuesday, October 31, 2023, at 10am EDT (3pm CET/EU-Central).

For more information, or to register for this event, visit AI: Challenges, Opportunities and Impact for Drug Discovery Teams.

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