Scientists Are Using AI for Improved Gene Hacking

The release of genes has made tremendous leaps in recent years, such as the treatment of congenital blood nervous anemia and beta -THO, which can require lifelong blood transfusions. But scientists are still afraid that some jump may lead to unwanted surprises.

However, a research team led by Zurich University says artificial intelligence can help.

A new study published in the magazine nature Details of how the researchers merged artificial intelligence and CRISPR-CAS genes to free more accurate, which may lead to better genetic treatments for patients and lower side effects.

They did this by developing a new AI tool called Pythia, which was called the old Oracle in the Apollo Temple, which can predict how cells are repaired part of the release of post -DNA genes.

“DNA reform is followed by patterns, it is not random,” said lead author and researcher in biotechnology at Zurich Nort. “We have been able to design on a large scale that this DNA repair process obeys consistent rules that artificial intelligence can learn and predict.”

To test the Pitaya event, the scientists have developed what they called “DNA repair templates” based on Petaya’s predictions.

“Our team has developed small DNA repair molds like molecular glue, which directs the cell to make accurate genetic changes,” Nort said.

They have succeeded in making accurate repairs to human cell cultures and then on laboratory mice and small frogs, which are often used for scientific experiments.

Scientists noticed the variable cells that were exposed to the DNA repair template and saw that the adjustments did not negatively affect the process of dividing the cells or subsequent functions within the cells.

Their experiences with Bithia can enable scientists to change some letters or include chains of genetic code in their right location, with the ability to work with cells that are not divided or repeated like mature brain cells.

Besides liberating the most accurate genes, Pythia can also allow researchers to specifically mark genes that make some fluoride proteins that glow under microscopic observation.

“This allows us to directly notice what individual proteins do in healthy and pathological tissues,” Nort said.

Scientists hope that others will take advantage of their artificial intelligence model, and may inspire more treatments for incurable diseases caused by wrong genes.

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