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.
Repurposing chemicals requires first uncovering the right insights from vast amounts of research. This case study shows how CAS enabled the efficient discovery of application leads for 75% of ICL’s target byproduct compounds.
This case study features Konishi Chemical Industry Co. Ltd., a chemical research and development company based in Koizaka, Japan, and how they use SciFinderⁿ to speed up their science to develop profitable solutions in an ever changing market.
A strong data platform enables valuable R&D data to be integrated where and when it is needed. Yet, managing scientific data requires expertise. Researchers at a leading materials organization learned key principles of data management through specialized training at CAS.