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AI: Challenges, Opportunities, and Impact for Drug Discovery Teams

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.

Featured speakers from CAS, the 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.

Featured solution: Life Sciences

 

What you will learn

  • The important concepts to consider when implementing AI technology in drug discovery team workflow
  • The strengths, limitations, and impact of artificial intelligence (AI) and machine learning (ML) techniques on drug discovery teams

Speakers

Written By

Jeffrey Wilson, Ph.D.

Senior Manager, Data Science, CAS

Dr. Jeffrey Wilson leads CAS’ Data Analysis & Insights department and has more than 20 years of experience in scientific data analysis. Jeff’s department of data scientists improves CAS processes, solutions and business decisions by implementing the latest technology to get maximum benefit from the organization’s data.

He obtained his PhD in Chemistry at the University of Iowa.

Written By

Gary Gustafson, Ph.D.

Senior customer success specialist, CAS

Dr. Gary Gustafson spent 25 years as a Medicinal Chemist in the industry and was part of a team that produced the recently FDA-approved drug, Olutasidenib. Since joining CAS in 2019, Gary has helped scientists derive maximum benefit from CAS solutions. Also contributes to the CAS product teams, helping to design new capabilities and enhance existing ones.

He obtained his PhD in Chemistry at Brown University and completed a Postdoctoral Position in Organic Chemistry and Biochemistry at the University of Virginia.