Using artificial intelligence to find anti-aging technology, is "pregnancy" not a pseudo-science?

Release date: 2016-12-09

(Source: dailystar.co.uk)

Youth is always here, never getting old, this may be everyone's wish. However, this situation has only been seen in film and television works or novels. With the continuous development of artificial intelligence, if this technology is used in anti-aging research, will it really take time to realize the longevity of human beings?

According to foreign media reports, the Moscow Institute of Physics and Technology (MIPT) and Insilico Medicine Inc. recently discovered the important application of artificial intelligence technology in the field of anti-aging. A technology called GeroScope can compare young cells with older cells in a large amount of data to identify cells that inhibit aging.

According to Lei Feng.com (Public No.: Lei Feng), professional research teams have spent decades investing millions of dollars in research on how to eliminate human aging. Artificial intelligence technology can significantly reduce this time and development costs.

For several years, researchers have relied on the Oncofinder platform for anticancer therapy to learn how to treat cancer, and have designed an algorithm that can compare tissue and healthy cells by tissue samples. Now, scientists have applied similar methods to GeroScope technology.

First, the developer analyzed transcriptome data from a sample of “young” (donors aged 15 to 30 years old) and “older” (donors over 60 years old) (read in DNA and then transcribe RNA), and computer models are used to identify and reconstruct molecular pathways involved in aging (the most common molecular pathways are metabolism and signal transduction). GeroScope technology simulates molecular pathways and analyzes different substances in a variety of cellular reactions, and then uses the new algorithm to screen out 10 substances that extend life.

The researchers then placed the 10 substances in the laboratory and used stem cells from human fibroblasts (connective tissue cells) to observe their regeneration and survival. Scientists measure the size, shape, and internal structure of cells and fuse them with a growth medium. In this state, the cell fusion will remain for 6 days, 12 days, and 18 days. Finally, the researchers will measure the concentration of beta-galactosidase, the most important substance responsible for aging.

The results of the experiment show that 10 kinds of life-extending substances have different performances in human cells: substances called NDGA can not make cells younger and reduce their survival rate; cells named NAC have slight cell weight The effect of the current vitality, but the cell survival rate is greatly reduced. The effect of myricetin on improving cell youth is mild, and the efficacy of EGCH substance is better. The substance called PD-98059 not only makes the cells younger, but also increases their survival rate.

“Using computer modeling, we got a good result. In the pharmaceutical industry, 92% of the drugs tested well in animals, but they were wrong in human clinical treatment. The application of new high-precision algorithms is in the pharmaceutical industry. A major breakthrough,” said Dr. Alex Zhavoronkov, a member of the British Biological Research Foundation for the Elderly and an anti-aging expert. This year, Alex also conducted a study called “Deep Learning to Predict Drug Pharmacological Properties and Drug Transcription Data”, “Artificial Intelligence and Deep Learning Technology and Collaboration with Business, Business and Technology Suppliers Humans bring the gospel of anti-aging."

In addition, Alexey Moskalev, director of the aging research laboratory of the Institute of Biology, Russian Academy of Sciences, said: "The aging of the global population has gradually become a major problem for human beings. The research and clinical application of anti-aging technology is a major challenge for biomedicine, artificial Intelligence makes us a step closer to success."

Source: Lei Feng Net

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