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Revolutionizing Drug Development: Harnessing Artificial Intelligence in Pharmaceutical Sciences.

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  • 1School of Pharmacy, P P Savani University, NH 8, GETCO, Near Biltech, Dhamdod, Kosamba, Surat, Gujarat, 394125, India.

Current Drug Discovery Technologies
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PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is transforming pharmaceutical sciences, accelerating drug discovery and personalizing medicine. Overcoming data, regulatory, and ethical challenges is key to realizing AI's full potential in healthcare.

Keywords:
AI challengesArtificial intelligencedrug discoveryhealthcare impact.personalized medicinepharmaceutical sciencestechnologi-cal advancements

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Area of Science:

  • Pharmaceutical Sciences
  • Biotechnology
  • Computational Chemistry

Background:

  • Artificial intelligence (AI) integration represents a significant advancement in pharmaceutical sciences.
  • AI offers novel opportunities for creativity and productivity in drug discovery and development.
  • Contemporary pharmaceutical practices are increasingly incorporating AI across various stages.

Purpose of the Study:

  • To provide a comprehensive analysis of AI applications in pharmaceutical sciences.
  • To outline recent progress and explore future trajectories of AI technologies in the field.
  • To identify challenges and opportunities for AI integration in drug development.

Main Methods:

  • Review of current AI techniques and their application in drug discovery.
  • Analysis of AI's role in personalized medicine and drug development pipelines.
  • Exploration of data quality, regulatory, and ethical considerations for AI implementation.

Main Results:

  • AI has led to significant advancements in drug development, reducing costs and improving efficacy and safety.
  • AI applications span multiple phases, from initial discovery to personalized treatment strategies.
  • Progress in AI has demonstrated potential for more individualized and efficient healthcare solutions.

Conclusions:

  • Harnessing AI's potential requires addressing challenges such as data quality, regulatory hurdles, and ethical considerations.
  • AI-driven strategies are poised to revolutionize healthcare by enhancing personalization and efficiency.
  • Stakeholders need guidance to understand and leverage AI in pharmaceutical sciences for improved patient outcomes.