A global study based on daily steps counted by smartphones discovers “activity inequality.” It’s similar to income inequality, except that the “step-poor” are prone to obesity while the “step-rich” tend toward fitness and health.
A new deep learning algorithm can diagnose 14 types of heart rhythm defects, called arrhythmias, better than cardiologists. This could speed diagnosis and improve treatment for people in rural locations.
Professors Jennifer Eberhardt and Dan Jurafsky, along with other Stanford researchers, detected racial disparities in police officers’ speech after analyzing more than 100 hours of body camera footage from Oakland Police.
Flash organizations are a new crowdsourcing technique that enables anyone to assemble an entire organization from a paid crowdsourcing marketplace and lead that organization in pursuit of complex, open-ended goals.
Advanced computer imaging technology has created a three-dimensional computer reconstruction of a patient’s bladder. The technique, which works on any hollow organ, could help doctors locate tumors or other disorders and prepare for surgery.