Vaccine innovation, translational research and the management of knowledge accumulation.

What does it take to translate research into socially beneficial technologies like vaccines? Current policy that focuses on expanding research or strengthening incentives overlooks how the supply and demand of innovation is mediated by problem-solving processes that generate knowledge which is often fragmented and only locally valid. This paper details some of the conditions that allow fragmented, local knowledge to accumulate through a series of structured steps from the artificial simplicity of the laboratory to the complexity of real world application. Poliomyelitis is used as an illustrative case to highlight the importance of experimental animal models and the extent of co-ordination that can be required if they are missing. Implications for the governance and management of current attempts to produce vaccines for HIV, TB and Malaria are discussed.

Organizing for innovation: towards successful translational research.

The current productivity crisis in drug discovery has prompted the pharmaceutical industry to decentralize R&D, which is now more responsive, more flexible and better connected to research in academia and biotechnology firms. Organizational changes are also under way in academia. Universities are expanding their technology transfer offices and research funders are investing more in translational research. This article explains how organizational changes in industry and academia can complement each other. Successful translation of research into innovative drugs needs to take account of the increasing organizational complexity of drug discovery as the knowledge to be integrated becomes more diffuse, specialized and valuable.

Putting pharmacogenetics into practice.

Genetics is slowly explaining variations in drug response, but applying this knowledge depends on implementation of a host of policies that provide long-term support to the field, from translational research and regulation to professional education.

The myth of the biotech revolution.

The existence of a medicinal 'biotech revolution' has been widely accepted and promoted by academics, consultants, industry and government. This has generated expectations about significant improvements in the drug discovery process, healthcare and economic development that influence a considerable amount of policy-making. Here we present empirical evidence, from a variety of indicators, that shows that a range of outputs have failed to keep pace with increased research and development spending. Rather than producing revolutionary changes, medicinal biotechnology is following a well-established pattern of slow and incremental technology diffusion. Consequently, many expectations are wildly optimistic and over-estimate the speed and extent of the impact of biotechnology, suggesting that the assumptions underpinning much contemporary policymaking need to be rethought.