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" ... Most medical research focuses on the causations or correlations between two easily isolated data sets (like the race of doctors and the mortality of patients). Addressing systemic racism in medicine requires that we analyze far more data (all at once) than we do today. AI is the perfect application for this task. What we need is a national commitment to use these types of technologies to answer medicine’s most urgent questions. ... "
" ... The combination of distributed processing power and connectivity in IoT has made it possible for us to link systems and processes that are either physically remote from each other or operating in parallel but disjointed isolation. IoT allows companies to create real-time monitoring solutions for such assets and, in conjunction with other technologies like cloud computing and AI, can lead to the virtually instant generation of actionable insights. Machine learning is the final piece of this puzzle; you can essentially use it to make your automation "smart" by giving it the ability to develop a bank of experiences and causations. ... "
" ... The facts are clear: science has identified many other causations. Yet, whenever someone is diagnosed with lung cancer, our first assumption is that they smoked. The fact is up to 70% of lung cancer patients now have either quit smoking decades ago or never smoked at all. ... "