SAS: Real-World Evidence and the Convergence of Life Sciences and Health Care

SAS: Real-World Evidence and the Convergence of Life Sciences and Health Care

 EST
Online

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.

Go to Registration