In the year 2016, as part of then-Vice President Joe Biden’s National Cancer Moonshot Initiative, the U.S. there was a collaboration which aimed at providing access to “precision treatment” options to more than 10,000 patients with cancer disease which is also known as one of the harsh disease as of now.
The program has achieved a measure of success in the two years since it started, according to the VA. Oncologists have used IBM Watson for Genomics to identify mutations in the cells of cancer DNA for over 2,700 veterans, which make up roughly 3.5 percent of cancer patients in the country. From those insights, the doctors develop the personalized therapies which targets particularly aggressive late-stage cancers, such as breast, bowel, prostate, and lung.
“Our mission with VA’s precision oncology program is to bring the most advanced treatment opportunities to veterans, in hopes of giving our nation’s heroes better treatments through these breakthroughs,” Peter O’Rourke, acting VA secretary, said in a statement. “We look forward to continuing this strategic partnership to assist VA in providing the best care for our veterans.”
“VA is leading the nation to scale and spread the delivery of high-quality precision oncology care, one veteran at a time,” said Dr. Kyu Rhee, chief health officer for IBM Watson Health. “It is incredibly challenging to read, understand, and stay up to date with the breadth and depth of medical literature and link them to relevant mutations for personalized cancer treatments. This is where AI can play an important role in helping to scale precision oncology, as demonstrated in our work with VA, the largest integrated health system in the U.S.”
In February, it launched a partnership with Google subsidiary DeepMind that used 700,000 health records to develop algorithms that identify risk factors for declining health. And in a study presented in March at the American College of Cardiology’s Scientific Session and Expo, VA researchers demonstrated how a wearable biosensor and smart monitoring platform could be used to predict hospitalizations from acute heart failure.
