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Ideas and Insight supporting all stages of Drug Discovery & Development

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Dr Andrew A. Parsons

Dr Andrew A. Parsons

Director of Reciprocal Minds Limited & Chairman of Pharmasum Therapeutics AS

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About the author: Dr Andrew A Parsons initially trained as a Pharmacologist and Neuroscientist and has over 90 peer reviewed publications, several patents and contributed to Educational Books in Science and Medicine. His former scientific focus was in areas of neuroplasticity and neurodegeneration. He played key roles on individual projects from initial idea through development and the market place. Working across traditional organisational and cultural boundaries he was instrumental in creating External Innovation platforms within a large Pharma company. Through this he became interested the impact of Human Factors on operational processes. He is a member of the Pharmaceutical Special Interest group and an associate member of the Chartered Institute of Ergonomics and Human Factors. He is the Director of Reciprocal Minds Limited which supports individuals and groups undergoing personal and professional development and challenges to health and wellbeing. He is the co-author of “Leading with Presence, what it is, why it matters and how to get it?” He is also the Chairman of Pharmasum Therapeutics AS, an early stage Biotech company.

Posts by Dr Andrew A. Parsons

Is it time for Design Thinking to drive R&D?

Posted on August 31st, 2016 in Pharma R&D

digitech

According to Jon Kolko (HBR 2015), the age of “design thinking” is here. Several high tech companies appear to be taking simple design principals in moving from selling products to providing services for their users or clients. (more…)

Predictions, Modelling and Simulations: Their role in R&D decision-making is more “what” than “how”?

Posted on August 8th, 2016 in Pharma R&D

R_D_Solutions_Blog_Data_Center_DIGITAL

“Predictions are difficult, especially when they are about the future”, a statement attributed to the Noble laurate Niels Bohr is very true.  Despite these difficulties, the Pharma industry has built a range of predictive models to understand a range of drug actions including toxicity, disposition, elimination and efficacy.  (more…)

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