![]() Levine, who has been fascinated with aging ever since she was a young girl, even entered her own numbers into the algorithm. I think we are given the information much earlier in the process, hopefully before someone ever develops disease, and then they can really take steps to improve their health before its too late.” “We actually know a lot about how to change some of these markers. “I think the most exciting thing about this research is that these things aren’t set in stone,” Levine said. Plants and extreme fitness: How one man added years to his life Khaled Al-Suwaidi runs 25 kilometers every day when he's training for a marathon. In the future, with advances in our ability to control biological age, we may have even fewer candles on our cake than the previous one.” Biological age is number of candles we really should be blowing out. Biological age is what determines our health and ultimately our lifespan. “We all age biologically at different rates according to our genes, what we eat, how much we exercise and what environmental toxins we are exposed to. Glenn Center for the Biology of Aging at Harvard Medical School. It’s a superficial number,” said professor David Sinclair, co-director of the Paul F. “Chronological age isn’t how old we really are. “What does is actually give us a better idea of where someone stands for their age.” “People of the same chronological age aren’t all at the same risk for developing cardiovascular disease or cancer or even dying,” Levine said. We basically take those and combine them using different algorithms to get what we call someone’s phenotypic age or biological age.”Įssentially, everyone has two ages: a chronological age, how old the calendar says you are, and a phenotypic or biological age, basically the age at which your body functions as it compares to average fitness or health levels. “One of the most recent ones is based on blood measures you get at your normal doctor’s appointment. “In my lab, we work on a lot of different types of aging measures,” Levine said. This algorithm represents a new way of thinking about age. ![]() In front of her, the equation stretches across multiple lines, taking up much of the surface. She clicks the red cap back onto the dry erase marker and steps back to admire her work. Reminiscent of a scene from “The Social Network,” the whiteboard in researcher and professor Morgan Levine’s Yale Medical School office is covered in a series of letters and numbers.
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