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Artificial intelligence's potential role in the revolution of drug discovery - WHITEPAPER

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Modern drug discovery is a complicated process that requires identification of disease targets, bioactive substances that act upon those targets, and finally optimization of those drug candidates. Each stage of the process is time consuming and costly with no guarantee of success. The average drug requires $2.5 billion to reach FDA approval and only a tenth of all drugs that reach phase I clinical trial ultimately succeed. Artificial intelligence (AI) promises to revolutionize this costly and inefficient discovery process.

This whitepaper will explore AI's potential impact in modern drug discovery, including:

  • Datasets for AI

  • Using AI to discover/ design novel therapeutics

  • Challenges in the application of AI in drug discovery

  • How AI can be used to improve current therapeutics

  • The convergence of Big Data and machine learning


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