Ageing has been viewed by humans as an unavoidable process for aeons. What could be more observably obvious, then, than the fact that everyone who lives above a certain age gradually degrades, becomes old and dies?
But according to the most recent scientific research, rage is fundamentally an illness that can be treated like any other. Numerous investigations and research projects have recently been conducted in this field.
In this situation, a professor from UTC applied AI to solve the lifespan puzzle. The project’s driving force is University of Tennessee at Chattanooga computer science professor Prof. Hong Qin. He pursues a career in computational biology, a discipline so complex that understanding the limitations of the human brain is beneficial.
In Qin’s research, the secrets of ageing are unravelled by looking for patterns in how human genes function. He does this by analysing data on the human genome obtained from the National Institutes of Health using contemporary technologies. Prof. Qin is attempting to take a simple glimpse inside our biological clock to discover how it functions.
the root of ageing
The typical lifetime of an animal species, or the rate at which it matures, is governed by the average amount of time that this animal species can survive in the wild, claims Dr. Kris Verburgh, the author of the book The Longevity Code. For instance, a mouse will age more quickly and live a shorter life if it repeatedly dies from external sources.
As is the case with turtles, an animal species will mature more slowly and have a longer lifetime if it can endure longer in the wild. This explains why a bat can survive for thirty years while a mouse becomes chilled at the age of three.
The same is true for humans as it is for mice. The amount of time that our ancestors were able to overcome obstacles and survive in the wild is what determines how long humans can live. Prehistoric humans died of disease, famine, accidents, or violence by the time they were 30 years old.
Optimum Health and Global Grand
Qin just won a prize in the Healthy lifespan Global Grand Challenge, a global initiative that aims to get us ready for an ageing population. Along with the government subsidies they already had, Qin’s team also earned $50,000 in seed money to help them move on to the challenge’s second phase.
In order to increase life expectancy and create better medicines for the elderly, Qin is searching for patterns in human genetic data. There are around 20,000 genes per person. Some are referred to as “driver genes.” The direction of human life may ultimately be changed if driving genes can be discovered and chemically manipulated.
belief in AI
The largest barrier to advancements may be the medical community’s reluctance to trust something as novel and complicated as AI. Furthermore, regulatory bodies like the federal Food and Drug Administration still do not publicly acknowledge that they accept AI research as truth.
Some claim that the healthcare sector is the last in the US to be unaffected by AI, according to Qin. Venture capital corporations around the world are sponsoring research to explore for biomedical solutions to ageing since, on the other side, huge sums of money are being earned on discoveries that can extend human life.
As people start to trust AI models to tackle difficult problems better than the human brain alone, according to Qin, the field of medicine may advance. But regrettably, there are situations when people get stopped and are unable to think creatively or alternatively. And all of a sudden, it seems like computational biology driven by AI and Confucianism are on the same page.
