A new horizon in synthetic organic chemistry

Reducing the potential of FAIR data With the advance of AI and machine learning, high-quality and transparent data now has the power to accelerate the development of predictive models to drive pharmaceutical and chemical innovation. But AI isn’t going to replace human efforts in R&D so much as amplify them.

    In this white paper, discover:

  • How deep learning has demonstrated superior performance to other machine learning algorithms
  • How the availability of software tools for building machine learning models has been a significant factor in driving the rapid adoption of machine learning in drug discovery
  • What kind of data is needed in order for AI to be effective

To learn more and download the white paper, please fill out the form

Learn more about Reaxys Predictive Retrosynthesis

Read more

Share
Tweet
Share
Share