Based on a study’s specific population and/or entire therapeutic populations, the most practical approach for sponsors, Blur runs thousands of permutations optimizing risk through advanced anonymization techniques. By automating sponsors sharing processes and assessing re-identification risk, Blur balances sharing aspirations against constraints faced by global sponsors. This refined design obtained from iterative feedback, has led Blur to become the most used and trusted tool to accelerate sharing in Life Sciences. Using NLP, Blur can be trained to automate sharing.
