In silico computer modelling and simulation has tremendous potential for healthcare, but current policy framework doesn’t fit for purpose.
"...How many data are ‘enough’ to reliably predict clinical effect? Which data sets can be useful? How can they be managed? What’s the best way to win the confidence of public and regulators? And, crucially, is academia training enough mathematicians and medical-data scientists, who will have to develop and harness all this new potential?"
In these very interesting article, a number of considerations are made on the next steps that are needed to convert big data into real scientific knowledge.
Read the full article here
