New CauseHealth paper about risk assessment of genetically modified plants

by Elena Rocca

One idea promoted by CauseHealth is that, when evaluating evidence, pre-existing theoretical frameworks count as much as the data. For instance, data from a certain trial assume a particular significance depending on the general background theoretical understanding we have when we interpret them. In this new CauseHealth article, Elena Rocca and Fredrik Andersen show that, when evaluating health risks related to the use of genetically modified plants in agriculture, different ontological starting points play an essential role for the final risk evaluation. Continue reading “New CauseHealth paper about risk assessment of genetically modified plants”

Re-Thinking Preclinical Research

How efficient is it really to exclude individual variability, context sensitivity and plurality of causes from lab models?

by Elena Rocca

Faith in medical research has decreased recently. Despite all the expectations of ‘personalized medicine’ and ‘tailored drug research’ since the dawn of the post genomic era, pre-clinical medical research has remained pretty much the same. Continue reading “Re-Thinking Preclinical Research”