How to improve treatment of diseases by leveraging data?
How can we reduce the time spent in medicine development cycles and ensure that it works and cures patient diseases?
In the field of clinical trials, a lot of data is generated to reply to very narrow questions and reduce the risk of side effects. The process to collect this valuable data is long, costly and difficult to obtain.
Machine learning techniques allow to determine upfront which features will have the biggest chance to positively impact the patient’s responsiveness to the treatment. By increasing the chances of success, the time and costs of the development process are reduced and the responsiveness of patient treatment is significantly improved.