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'Big Data' informed drug development: a case for acceptability.

Neel Desai1, A J Edwards2, T B Ernest2

  • 1Department of Pharmaceutics, UCL School of Pharmacy, University College London, London, WC1N 1AX, UK.

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Summary
This summary is machine-generated.

Novel data collection platforms, like mobile apps, are transforming drug development. Electronic data gathering enhances medicine acceptability insights, enabling patient-centric drug design and regulatory compliance.

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Area of Science:

  • Pharmaceutical Sciences
  • Digital Health
  • Human Factors Engineering

Background:

  • Drug product development increasingly relies on data for informed decision-making.
  • Novel platforms, including mobile applications, generate large 'Big Data' sets.
  • Medicine acceptability, a key human factor, influences patient adherence and therapeutic outcomes.

Purpose of the Study:

  • To highlight the shift towards electronic data gathering in pharmaceutical research.
  • To emphasize the importance of medicine acceptability in drug product design.
  • To underscore the benefits of real-world, real-time data for regulatory submissions and patient-centric development.

Main Methods:

  • Utilizing mobile applications and other novel platforms for data collection.
  • Employing computational analysis for large 'Big Data' sets.
  • Analyzing patterns in human behavior and interactions related to medication use.

Main Results:

  • Electronic data gathering provides real-world, real-time, clinically relevant information.
  • This approach reveals patterns in patient behavior and interactions.
  • Data supports age appropriateness and regulatory expectations for medicinal products.

Conclusions:

  • Transitioning to electronic data platforms is crucial for modern drug product development.
  • Enhanced medicine acceptability data collection supports patient-centric design.
  • This shift reduces development time and costs while improving data quality.