Atlantic Re:think: What role do data and analytics play in cancer research and treatment?
Samer Ansari: Humans can only do so much in a small amount of time, and AI and machine learning are the augmenting factors that multiply what a human can achieve, ultimately creating greater efficiency and accuracy. The analogy I always think about is car racing. You can have the best car, but if the driver is not skilled enough to make those tight turns at the right time, the car alone cannot win the race. We have smart humans; we’ve cracked that. Now we’re empowering them with advanced data and technology capabilities to make sure that we can win the race for our patients.
Let me give you an example: A key objective for us is to make sure that our clinical trials are inclusive and diverse, and we’re trying to connect the right patient with the right trial at the right time, anywhere in the world. Data and digital technologies are a key accelerator here as we can model large and complex data sets on a frequent basis, predicting where trial-eligible patients may be and which clinical trial sites can meet trial-specific diversity goals. This then helps us connect with the right people and sites through digital channels to ensure timely engagements.