AI and advanced analytics bring the opportunity to transform enormous amounts of real-world data into intelligence. The result is pragmatic trials that yield better therapies, identify the best patients for studies, get life-changing therapies to patients faster and deliver better, more personalized treatment plans.
In this webinar, we’ll discuss the implications of real-world evidence for both the health care and life sciences industries and where we'll see more convergence between the two as the application of AI matures.
Join us for a deep dive into specific use cases, including:
The role of real-world evidence in demonstrating product value and supporting the product life cycle.
The adoption of cutting-edge technologies in AI to reduce the expense and length of the drug discovery process.
The use of personalized medicine in oncology to deliver the right therapy to each patient.
The use of AI to identify abnormal usage and prescribing patterns of opioids, resulting in usable notifications for intervention.
The Healthy Nevada Project – a large-scale population health study using genetic, environmental, outcome and demographic data to improve the delivery of community health care to northern Nevada’s patient population.