Optibrium

Dr Mikel Moyer gave this presentation as part of the first StarDrop User Group Meeting and Workshop at the ACS Fall meeting 2010 in Boston.

This paper was published by Andrew Chadwick and Matthew Segall in Drug Discovery Today, 2010, 15 (13/14), pp. 561-569.

Abstract

Better individual and team decision-making should enhance R&D performance.  Reproducible biases affecting human decision making, known as cognitive biases, are well understood by psychologists. These threaten objectivity and balance and so are credible causes for continuing unpleasant surprises in Development, and high operating costs.  For four of the most common and insidious cognitive biases, we consider the risks to R&D decision-making and contrast current practice with use of evidence-based medicine by healthcare practitioners.  Feedback on problem solving performance in simulated environments could be one of the simplest ways to help teams improve their selection of compounds and effective screening sequences. Computational tools that encourage objective consideration of all of the available information may also contribute.

The published article can be accessed at http://dx.doi.org/10.1016/j.drudis.2010.05.007 or you can download a preprint free of charge.