Genetic testing has long been a major promise to foster personalized healthcare and personalized wellness. The major barrier to its success and massification is the gap between getting the genetic data and providing actionable advice, alongside the high cost of the tests themselves as well as data modelling challenges.
Recent trends in genetic testing are showing strong signals that the adoption curve is about to grow significantly, particularly with the adoption of wellness genetic tests. Moreover, there is clear evidence that genetic tests increase engagement in therapeutics, as well as in nutritional and fitness plans.
In this talk we will discuss the benefit and application of cardiovascular and wellness genetic tests and will present modelling and machine learning algorithms can be used to transform raw genomic information into effective actions that can impact each individual in a daily basis.
In this age of digital revolution, we believe that genetic data is key to unlock personalization, becoming a stepping-stone to retrieving more data for business.