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Artificial Intelligence and Cancer Drug Development

Fan Yang1, Jerry A Darsey2,3, Anindya Ghosh2

  • 1Healthville Primary Care, Little Rock, AR 72211, USA.

Recent Patents on Anti-Cancer Drug Discovery
|July 29, 2021
PubMed
Abstract

Insights

Artificial Intelligence (AI) accelerates cancer drug development by analyzing big data for target validation and drug design. Challenges in data quality must be addressed for AI to optimize all stages of therapeutic advancement.

Area of Science:

  • Oncology
  • Computational Biology
  • Drug Discovery

Background:

  • Cancer drug development is a key area of medical research.
  • Big data and Artificial Intelligence (AI) have significantly advanced cancer drug discovery.
  • Challenges persist, particularly concerning the curation of low-quality data.

Purpose of the Study:

  • To review recent advancements in AI for cancer drug development.
  • To identify and discuss the challenges associated with AI implementation in this field.

Main Methods:

  • Review of AI applications in target validation.
  • Analysis of AI in drug repositioning strategies.
  • Exploration of AI for de novo drug design.
  • Examination of AI in optimizing compound synthesis.

Main Results:

  • AI demonstrates applicability across all phases of cancer drug development.
  • Specific AI applications in distinct stages have been documented in existing literature.

Conclusions:

  • AI is a powerful tool with broad potential in oncology drug discovery.
  • Addressing data quality issues is crucial for maximizing AI's impact on therapeutic development.
Keywords:
Artificial intelligencedeep learningdrug designdrug discoverymachine learningtarget validation

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