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

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