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The future of drug discovery and development: Shifting emphasis towards personalized medicine

Author

Listed:
  • Arsia Amir Aslani

    (Global Health - MTS - Management Technologique et Strategique - EESC-GEM Grenoble Ecole de Management)

  • Vincent Mangematin

    (Global Health - MTS - Management Technologique et Strategique - EESC-GEM Grenoble Ecole de Management)

Abstract

The drug discovery sector is being revolutionized by the current rate of advances in the public and private human genome projects and by the development of new technologies for biomarker testing. In effect, as the genetic roots of disease, disease progression and treatment effectiveness are uncovered, the demand for sophisticated prognostic, diagnostic and monitoring tests will be increasing. Already this has led to the development of innovative diagnostics products meeting the criteria of improved efficacy and safety as well as better cost-benefits. In order to achieve the ultimate goal of a more predictive and personalized medicine requires the drug discovery industry to implement more synergies between the two worlds of clinical research and diagnostics. The therapeutics that are enabled by that strategy are often called "theranostics" -- highly specific tests that allow for the diagnosis of the disease, but to administer the most appropriate treatment regimen, and to monitor a patient's response to therapy. Biomarkers will constitute a critical component of the health care delivery system in order to detect, diagnose and monitor diseases and other medical conditions as well as to evaluate treatment options and effectiveness. While diagnostic breakthroughs typically precede therapeutic advances, the presence of new therapies can stimulate the demand for testing. The main question that remains to be answered is how will the biomarker paradigm alters these companies' innovation and commercialization strategies. Whereas developing drug targets may offer greater long-term value, initial commercial opportunities often arise in diagnostics.

Suggested Citation

  • Arsia Amir Aslani & Vincent Mangematin, 2010. "The future of drug discovery and development: Shifting emphasis towards personalized medicine," Grenoble Ecole de Management (Post-Print) hal-00749148, HAL.
    • Handle: RePEc:hal:gemptp:hal-00749148
    DOI: 10.1016/j.techfore.2009.09.005
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    Citations

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    Cited by:

    1. Mario Coccia, 2012. "Path-breaking innovations for lung cancer: a revolution in clinical practice," CERIS Working Paper 201201, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    2. Lauto, Giancarlo & Valentin, Finn, 2016. "The knowledge production model of the New Sciences: The case of Translational Medicine," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 12-21.
    3. Alfonso Ávila-Robinson & Cristian Mejia & Shintaro Sengoku, 2021. "Are bibliometric measures consistent with scientists’ perceptions? The case of interdisciplinarity in research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7477-7502, September.
    4. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2019. "Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 324-339.
    5. Aaldering, Lukas Jan & Leker, Jens & Song, Chie Hoon, 2019. "Uncovering the dynamics of market convergence through M&A," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 95-114.
    6. Alon, Ido & Guimón, José & Urbanos-Garrido, Rosa, 2019. "What to expect from assisted reproductive technologies? Experts' forecasts for the next two decades," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

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