The world has changed, and so has the way technology is integrated with healthcare. The current pandemic has reinforced the belief that through the use of AI and machine learning technologies, will we be able to predict, detect, and diagnose healthcare conditions rapidly and accurately. There is a need to build better, accurate & reliable technologies that help us make a symbiotic leap in health-tech.
The current status quo for the treatment of cancer is based on old data … which is not even captured from the vast majority of patients. Cancers are also heterogeneous and rapidly evolving diseases. How can we shift cancer research and treatment to one of real world, continuous learning, enabled through layers of human and artificial intelligence, not buried deep in journals but available in real-time within the next generation of clinical user interfaces?
At Exponential Medicine 2018, Dr. Jack Kreindler led an exploration of the topic with Parker Moss. Kreindler and Parker are helping build the United Kingdom’s SMART Grid for Cancer (S.ystems M.edicine and A.I with next gen R.andomized T.rials) to not only treat but truly study patients with currently incurable disease, to accelerate learning and democratize cures.
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