CAS at BioIT West

Powerful Predictions Start with Quality Data

Join CAS at BioIT West

Date: March 1-4, 2020
Location: Moscone South Convention Center - San Francisco, CA
Booth: 825

Learn how high-quality, scientific data from CAS can improve prediction accuracy. Let's Talk.

Featured CAS Events and Presentations

Dr. Alpha Lee
Research Fellow
University of Cambridge

Alpha Lee - Research Fellow, University of Cambridge

Encoding Chemistry to Algorithms: Proving scientific expertise improves accuracy.

March 3: 12:20-1:20pm

(download the presentation slides)

Abstract: If a picture is worth a thousand words, then a chemical structure is worth thousands of features. Join Dr. Alpha Lee from the University of Cambridge to see how impactful descriptors are on predictions. If your AI initiatives aren’t meeting expectations, see how better representations of chemistry structures improve algorithm performance. CAS descriptors are derived from centuries of scientific knowledge and are proven to improve AI accuracy.

Impact of Data Quality on Machine Learning Results

See how enhancing the quality of the input data alone, without changing the algorithm, impacts prediction accuracy of an algorithm designed to assess the biological activity of compounds relative to different targets in this quantitative study by CAS data scientists.

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