The key lies in data: artificial intelligence feed on data, to learn, to process and eventually, to make sound decisions which mimic those like human. Medical data is not easy to come by and partnering with medical institutions becomes inevitable. However, since there is no centralized electronic me
Last winter, UK witnessed its worst flu season, as death rate tripled and doctors saw a major increase in patients. Some found the effects of their flu vaccine in vain because unexpected strains were looming. Generally, flu vaccine is developed six months ahead of a presumable epidemic season, somet
Modern medicine departmentalized hospitals for physicians to undergo professional training of their interests and patients are guaranteed specialized care. The equation has always been medical institutions are actively treating the mass while individuals are passively sorting after doctors for advic
In the spirit of scientific experimentation, Crystal Valentine, PhD, investigated whether she could influence more young women to study computer science. Note: I choose to focus on gender diversity here because the underrepresentation of women in scientific fields is the most glaring given that wome
Dr Timothy Chou, a Stanford lecturer and one of only six people to hold the title of President at Oracle, gives a class in cloud and its potential to transform healthcare You have to be living under a rock not to have heard about cloud computing. I was talking with one of my friends who works at G
I am a Texan, and famously we Texans like to keep things simple and uncomplicated. Understanding these core tenants in artificial intelligence is possible without knowing all the technical stuff. It’s important that industry terms like “Big Data” and “Cloud Computing” be made explainable for
The myriad problems preventing machine learning from acting on the wealth of electronic health records data (EHRs) will one day give way to a fantastic revolution in digital health. Approximately 80% of healthcare data is still unstructured and housed in various silos across different health systems
Many are predicting the jobs of the future, how to robot proof your kids and what knowledge, skills, abilities and competencies will be key to avoid your white coat getting the pink slip. Communication, creativity, complex problem solving and collaboration are usually on the list. Now we need to add
Prediction Machines: The Simple Economics of Artificial Intelligence - by Ajay Agrawal, Avi Goldfarb, and Joshua Gans Three economics professors based in Toronto, one of the world’s epicenters of artificial intelligence, authored the timely book Prediction Machines: The Simple Economics of Artificia