Is poor data quality hindering your chemical innovations?

In chemical synthesis planning, generating accurate and diverse synthetic routes relies heavily on the quality of the underlying data in data-driven computational applications.

Read this white paper to:

• Understand the impact of high-quality training data in chemical synthesis planning.
• Learn how to improve data quality to enhance prediction outcomes.
• See how CAS and Bayer's collaboration demonstrated the power of quality data on machine learning models.

Stay ahead in chemical research. Download the white paper to explore the impact of high-quality data on predicting reaction outcomes.