Although it’s not completely clear how caffeine causes the stimulant effects it’s well-known for, it’s thought most of those effects are traceable back to its action as an antagonist at receptors for the neurotransmitter
Pink for Boys and Blue for Girls might seem strange to modern eyes and sensibilities, but up until the 1940’s a lot of people thought pink was the more masculine color and blue was clearly more feminine.
Sunil Singhal, MD, a general thoracic surgeon and researcher at Penn Medicine, outlines his groundbreaking approach to intraoperative, fluorescent-guided surgery (TumorGlow™) to describe solid tumor recurrence.
It turns out that a lot of accomplished, well-respected historical figures did drugs. From Winston Churchill taking amphetamines to Thomas Edison lacing his wine with cocaine, not everyone who uses narcotics is a hopeless basket case living in a dumpster.
Using data to predict future events—whether it’s the behavior of the stock market or the effectiveness of a drug in one particular person—would be a boon to nearly every aspect of society. But it’s an enormously difficult task that’s yet to be perfected. At the 2016 World Science Festival, data scientist Chris Wiggins discussed why prediction is such a big challenge.