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Related Experiment Videos

Translational precision medicine: an industry perspective.

Dominik Hartl1,2, Valeria de Luca3, Anna Kostikova3

  • 1Novartis Institutes for BioMedical Research, Basel, Switzerland. dominik.hartl@novartis.com.

Journal of Translational Medicine
|June 6, 2021
PubMed
Summary

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Precision medicine leverages digital technologies and AI to revolutionize drug discovery, shifting from serendipity to data-driven approaches. This review explores the potential and challenges of Translational Precision Medicine, integrating multi-omics, AI, and patient-centric strategies.

Area of Science:

  • Biotechnology
  • Pharmacology
  • Computational Biology

Background:

  • Precision medicine and digital technologies are transforming drug discovery and development.
  • The traditional drug development model is shifting towards data-driven approaches.
  • Innovation in business models is crucial for adopting new technologies.

Purpose of the Study:

  • To review and critically discuss the potential and challenges of Translational Precision Medicine.
  • To highlight key components of this modern approach.
  • To provide a cross-industry perspective on the integration of new technologies.

Main Methods:

  • Review of current literature and industry practices.
  • Analysis of key components: multi-omics profiling, digital biomarkers, AI, model-based data integration.
Keywords:
Artificial intelligenceBiomarkersCompanion diagnosticsDigital biomarkersDrug developmentModelingMulti-omicsPharmaceutical industryPrecision medicineTranslational medicine

Related Experiment Videos

  • Discussion of biomarker-guided trial designs and patient-centric companion diagnostics.

    • Main Results:

    • Digital technologies and AI offer unprecedented opportunities for innovation in drug discovery and development.
    • Translational Precision Medicine integrates multi-omics, digital biomarkers, AI, and patient-centric strategies.
    • Successful implementation requires addressing challenges in technology adoption and data integration.

    Conclusions:

    • Translational Precision Medicine represents a paradigm shift towards data-driven, precise, and patient-centric drug development.
    • Adoption of new technologies is critical for realizing the full potential of this approach.
    • Cross-industry collaboration is essential to overcome challenges and drive innovation.