Research Universities and Big Pharma’s Wicked Problem


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to the precision that we have engineering knowledge. We cannot generate a blueprint specifying how the human body works.

How do we know if a drug is doing any good? An airplane cockpit is crammed with indicators that monitor the status of almost every important function. If something begins to go wrong, it is quickly detected and the pilot can know whether corrective actions are indeed working. The pharmaceutical industry usually lacks good measures of the efficacy of its interventions. How do we know if a drug for Alzheimer’s or schizophrenia or cancer is having an effect? Lacking quantitative biomarkers that reflect the progress of a disease makes it a huge challenge to measure drug efficacy. We cannot fix what we cannot measure.

We also lack a theory of drug efficacy. We may scoff at the old theories from Galen’s time of balancing the humors by medical intervention, but in truth we are not much more sophisticated now. Drugs are essentially poisons. We treat a disease by poisoning the patient. To continue the airplane analogy: it is like repairing a defect in an airplane by breaking something else. Yet drugs do often succeed in improving the quality of life for patients. The explanation of this paradox is emerging, albeit slowly, as we move from reductionism to look at the human body as a set of interlocking systems. Aircraft engineers have followed a systems approach for decades.

Comparison with the aviation industry dramatizes for us the wicked problem. The pharmaceutical industry needs a much more precise blueprint for the human body; greater knowledge of its interlocking regulatory systems; and accurate monitors of functional defects. It needs clinical doctors working with research scientists and bioengineers.

There is a win-win solution. A great research university, given the incentive of a deal like the BP-Berkeley arrangement, may be able to pull together the bio-innovation ecosystem necessary to solve the pharmaceutical industry’s wicked problem.

[Editor’s Note: This editorial is also being posted on the QB3 website.]

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Regis Kelly is the director of the The California Institute for Quantitative Biosciences (QB3) at the University of California. Follow @

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  • What a great article. Many universities do have the breadth of expertise needed to define the pathophysiology of diseases, identify potential targets, and develop assays for evaluating the effects of potential treatment options. I believe the key to making this happen at universities is to build teams of expertise with “collaborative” rather than the current “competitive” mentality. Big Pharma must also adjust their thinking from finding a compound to understanding disease interventions.

  • To join universities into one team doesn´t have to be such tricky task. We have sophisticated technologies that can help put together scientists of the entire world. There has to be a certain task and leader that can create working environment to achieve goals successfully in any field. Let´s support this idea!

  • As a biotech startup that owns our own patents on breakthrough non-toxic technologies that can reduce the considerable operating costs of algae/biofuel production due to fouling, we have yet to find a university that will work with us. The university paradigm seems to require their taking over our patent rights. Most will not sign our MTA or work with us on a fee-for-service basis. Until the IP issue is addressed, there is no incentive to collaborate.

  • I completely agree, as problems are becoming more difficult, more and more companies are turning to academia to fill the talent gap and the knowledge gap. We need tools to create teams of inter-disciplinary knowledge workers and allow them to collaborate with each other in a meaningful environment. We have taken the first step towards solving that daunting problem at Companies can come and find the right team of researchers to solve their problems.

  • Pingback: Analogies between pharmaceutical development and education « Real Learning Matters()

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