I thought that tackling aging and the mechanisms that promote life would be worth figuring out. I wanted to learn why it is that some people are healthier than others and why some people live to 110 and others only to 60 or 70.
Interpretation
This quote reflects a curiosity about aging and the biological factors that influence health and longevity.
David Andrew Sinclair expresses his interest in understanding the complexities of aging and the mechanisms that contribute to life extension. He is motivated by the desire to discover why certain individuals live significantly longer, healthier lives than others, highlighting the importance of research in the field of biology and longevity.
In practice
In a speech about health advancements, one could say, 'As David Sinclair emphasized, understanding aging can lead to significant health improvements.'
We used to think that aging was a lot like, as if we were cars made fresh and youthful and then we've entered this breakdown in diet. What we didn't realize until recently is that we're much more complex than a car. We fix ourselves if we're broken.
Only 20 percent of our longevity is genetically determined. The rest is what we do, how we live our lives and increasingly the molecules that we take. It's not the loss of our DNA that causes aging, it's the problems in reading the information, the epigenetic noise.
As we get better at reversing aging it will be possible to take one medicine and within weeks feel and even look younger. Imagine going to a doctor to get a pill for diabetes, and this same medicine will prevent heart disease, Alzheimer's, cancer, and will give you more vitality too.
If I'm not hungry and I'm busy, I am quite happy to skip a meal. It's informal intermittent fasting. I feel strongly that this is one of the strongest areas of longevity research.
So what we're all hoping to do, us researchers, is to develop ways to not really just extend lifespan but to keep people healthier for longer. We may just have a greater impact than a single drug because these drugs could potentially treat one disease but prevent 20 others.
Now, a living organism is nothing but a wonderful machine endowed with the most marvellous properties and set going by means of the most complex and delicate mechanism.
At the simplest level, economics can better show us the consequences of our actions. Less simple are cases in which we don't have the knowledge to predict the full consequences. Global warming and climate change are examples.
As in biomedical science, pioneering industrial inventions have not been mothered by necessity. Rather, inventions for which there was no commercial use only later became the commercial airplanes, xerography and lasers on which modern society depends.
The range of variation in the female far exceeds the range of variation in the male.
If your child gets asthma, the fossil fuel industry doesn't pay. Or if there's a natural disaster, the bill is paid by the taxpayer, not the fossil fuel company.
Supervised learning works so well when you have the right data set, but ultimately unsupervised learning is going to be a really important component in building really intelligent systems - if you look at how humans learn, it's almost entirely unsupervised.
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