Artificial intelligence in drug discovery and development

Highlights • Artificial Intelligence (AI) has revolutionized many aspects of the pharmaceuticals.• AI assistance to pharma industries helps to improve overall life cycle of product.• AI can be implemented in pharma ranging from drug discovery to product management.• Future challenges related to AI and their respective solutions have been expounded. Artificial Intelligence (AI) has recently started to gear-up its application in various sectors of the society with the pharmaceutical industry as a front-runner beneficiary. This review highlights the impactful use of AI in diverse areas of the pharmaceutical sectors viz., drug discovery and development, drug repurposing, improving pharmaceutical productivity, clinical trials, etc. to name a few, thus reducing the human workload as well as achieving targets in a short period. Crosstalk on the tools and techniques utilized in enforcing AI, ongoing challenges, and ways to overcome them, along with the future of AI in the pharmaceutical industry, is also discussed.

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Artificial intelligence in drug discovery and development

Semantic Scholar · Medicine · 2020

Abstract

Highlights

  • Artificial Intelligence (AI) has revolutionized many aspects of the pharmaceuticals.
  • AI assistance to pharma industries helps to improve overall life cycle of product.
  • AI can be implemented in pharma ranging from drug discovery to product management.
  • Future challenges related to AI and their respective solutions have been expounded. Artificial Intelligence (AI) has recently started to gear-up its application in various sectors of the society with the pharmaceutical industry as a front-runner beneficiary. This review highlights the impactful use of AI in diverse areas of the pharmaceutical sectors viz., drug discovery and development, drug repurposing, improving pharmaceutical productivity, clinical trials, etc. to name a few, thus reducing the human workload as well as achieving targets in a short period. Crosstalk on the tools and techniques utilized in enforcing AI, ongoing challenges, and ways to overcome them, along with the future of AI in the pharmaceutical industry, is also discussed.

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