Computer vision has a long history of research and development dating back to the 1960s at MIT, when pioneers of artificial intelligence sought to mimic the human visual system. The intended goal of such projects was to enable computers to “describe what they saw” from digital images or videos. However, this proved to be a much harder problem than anticipated, requiring significant strides in mathematics, physics, statistics, and learning theory that ultimately slowed interest in the field. Computer vision has since experienced a resurgence.
Examining The Growing Need To Make Blood Pressure Prediction More Equitable
When you consider health conditions that can affect a large number of people, it becomes clear why diversity is so important in study. Take high blood pressure, commonly known as hypertension. It's a major deal and, for some people, even potentially fatal. Mendelian randomization, a technique that uses gene variation to assess cause and effect relationships, has revealed a relationship between high blood pressure and cardiovascular illness.