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September 20, 2025Current pharmacogenomics and personalized medicine (Online)/Current pharmacogenomics and personalized medicine

Revolutionizing Healthcare: AI-Driven Innovations in Drug Development and Personalized Medicine

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Authors

DJDhruv Pratap SIngh JaitawatSCShikha Baghel ChauhanCJChirag Jain

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Overview

Observational analysis reveals enhanced drug development and diagnostics in personalized medicine, suggesting AI's potential in healthcare.

Key Points

  • AI significantly reduces drug development time and costs, enabling more efficient pharmaceutical research.
  • Systems like IBM Watson improve clinical decision-making and predictive analytics in healthcare.
  • AI's ability to analyze large datasets enhances personalized medicine, allowing real-time monitoring and tailored therapies.
  • Despite its potential, the integration of AI in healthcare faces challenges like algorithmic bias and data privacy issues.

Cite This Study

Jaitawat et al. (2025) studied this question.

synapsesocial.com/papers/68d439fa713b0b5dfea79cdchttps://doi.org/10.2174/0118756921395626250905121219
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Pharmaceutical Industry's Future: How Artificial Intelligence is Transforming Medicine2025
  2. 2Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine2025
  3. 3Artificial Intelligence in Pharmaceutical Drug Development: Transforming Formulation and Innovation2025
  4. 4Integrative approaches of AI in personalised disease management: From diagnosis to drug delivery2025
  5. 5REVOLUTIONIZING DRUG DISCOVERY: THE TRANSFORMATIVE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICINE2025