A webinar sponsored by the Informatics Alliance
Date: Tuesday, June 29th, 2021
Time: 10:00 AM EDT, 7:00 AM PDT
In recent years, artificial intelligence (AI) and machine learning (ML) have become important tools to help solve challenges in almost every domain, including science. Examples of application of AI in life sciences and in chemical R&D include toxicology prediction of chemical compounds and automated synthesis planning. Unfortunately, many data scientists nowadays spend the majority of their time on preparing data instead of creating knowledge and building new AI/ML tools and models from the data. What strategies can we apply to make chemical data, such as chemical compound and chemical reaction data, more ready for use by AI?
In this webinar, Informatics Alliance chemical data experts Gerd Blanke (StructurePendium GmbH) and Thomas Doerner (independent consultant) discuss the following topics with Esben Jannik Bjerrum (Astrazeneca), Andreas Bender (ICB/Nuvisan and Cambridge University) and Ted Slater (Elsevier):
About the Informatics Alliance:
The Informatics Alliance is is a small group of dedicated chem- and bioinformatics experts focusing on serving the life science, agro and chemical industries. Each of us brings many years of experience with research informatics projects and practical implementations. We operate independently but we know and help each other, sharing experiences and expertise, and for bigger projects we join forces, for the benefit of all our clients. With group members based in Europe, the US, Asia, and in four world-leading life science hubs (Boston/Cambridge Massachusetts, Basel Switzerland, Copenhagen Denmark, Shanghai China) Informatics Alliance members can support clients all around the globe. For more information, visit informaticsalliance.org.
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