Finding a cure for cancer ranks among big lofty goals like achieving world peace and ending poverty -- difficult problems because of their complexity and scope. Cancer isn't just one disease. It is many diseases -- breast, lung, prostate, colon, bladder, skin, and more. An estimated 1.7 million new cases of cancer were expected to be diagnosed in 2016, according to Cancer.gov. Nearly 40 percent of men and women will be diagnosed with cancer at some point during their lifetimes.
While the scope and complexity of cancer seems unlimited, our search for the cure is limited by the capacity of human researchers. So it makes sense that cancer research and treatment would be an area to apply artificial intelligence and machine learning techniques. Medical organizations are looking to these technologies to help as society pursues the cure for the many diseases that are cancer.
This week at the the SAS Health Analytics Forum (SAS is the sponsor of this site), analytics professionals will gather to network with their peers and talk about the application of analytics and related techniques to problems such as curing cancer and addressing other healthcare concerns. The event also features a host of sessions, including a keynote address from from prominent oncologist and cancer researcher Siddhartha Mukherjee.
He is the author of the Pulitzer Prize-winning biography of cancer, The Emperor of All Maladies: A Biography of Cancer. His new book, The Gene: An Intimate History, applies a similar approach to looking at this building-block of life. Most recently, Mukherjee wrote AI versus MD, an article in The New Yorker magazine, which delves into the use of AI for diagnosing medical conditions from strokes to skin cancer, and how this new capability is being received by members of the medical profession.
If you cannot make it in person to this event, you can catch Mukherjee's keynote address and other programming via a virtual edition of this event on May 2 and 3. Among the topics on the agenda are real-world evidence, consumerism, population health, operational efficiency, SAS Viya for healthcare analytics, and more.
The SAS agenda will bring you two days of programming devoted to providing a picture of advanced analytic techniques as they are applied in the healthcare industry.
Other speakers include practitioners from healthcare organizations including Duke University Health System, Blue Cross and Blue Shield of Minnesota, Cleveland Clinic, Takeda Pharmaceuticals, Dignity Health, and Humana.
You'll hear about the consumerization of healthcare, how to transform data into insights, how to use predictive tools to predict patient flow, and more.
Check back with AllAnalytics for coverage of this event, and register to attend yourself for this free update on analytics and healthcare and life sciences.