While not all arrhythmias are fatal or even dangerous, it’s still a cause for concern. Some, after all, could cause heart failure and cardiac arrest, and a lot of people with abnormal heart rhythms don’t even show symptoms. A team of researchers from Stanford University might have found a way to effectively diagnose the condition even if a person isn’t exhibiting symptoms and even without a doctor. They’ve developed an algorithm that can detect 14 types of arrhythmia — they also claim that based on their tests, it can perform “better than trained cardiologists.”
Stanford University just delivered further proof that massive, readily available data sets can solve tricky law enforcement problems. School researchers combing through a mix of 28,119 Oakland Police Department stop reports, officer body camera footage and community surveys havelearned that there are “significant” racial biases at play. OPD officers are not only more likely to stop a black person, but far more likely to conduct searches of black people, even though they weren’t any more likely to find something incriminating. Officers more frequently handcuffed black people without arresting them, too. And the pattern is the same regardless of the crime rate in a given region.
Stephanie Lampkin learned to code at age 13. By 15, she was a full-stack web developer, fluent in the languages of computer programming. She has a Stanford engineering degree and an MBA from MIT.
Stanford barely missed out on the College Football Playoff, and Christian McCaffrey almost won the Heisman Trophy.
McCaffrey and the mighty Cardinal didn’t miss a thing in their Rose Bowl romp over Iowa.
Derrick Henry bulldozed defenses while carrying Alabama’s offense this season, and then walked away with a Heisman Trophy.