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AI could find out when cancer cells will resist chemotherapy

In a new study, scientists have been able to leverage a machine learning algorithm to tackle one of the biggest challenges facing cancer researchers — predicting when cancer will resist chemotherapy.


But in what could be a game-changer, scientists at the University of California San Diego School of Medicine revealed today in a study that a high-tech machine learning tool might just figure out when cancer is going to give the cold shoulder to chemotherapy.

Teaming up against cancer

When cells divide, even the cancer ones, they rely on complex molecular machinery that helps them copy their DNA. Chemotherapy drugs usually put a stop to this DNA-copying mechanism, especially in fast-growing tumor cells.

Radio waves reprogram bacteria to become vital drugs with 91% efficacy

Researchers from Australia and a private biotechnology firm in the US have successfully demonstrated the use of high-frequency radio waves to temporarily open up bacterial cell walls to introduce new genetic material into them.


High frequency radio waves are a far efficient method to add DNA to bacterial cells than conventional approaches such as heat shock.

Q&A: How a potential treatment for Alzheimer’s disease could also work for type 2 diabetes

Of the 38 million Americans who have diabetes, at least 90% have type 2, according to the Centers for Disease Control and Prevention. Type 2 diabetes occurs over time and is characterized by a loss of the cells in the pancreas that make the hormone insulin, which helps the body manage sugar.

These cells make another protein, called islet amyloid polypeptide or IAPP, which has been found clumped together in many type 2 diabetes patients. The formation of IAPP clusters is comparable to how a protein in the brains of Alzheimer’s disease patients sticks together to eventually form the signature plaques associated with that disease.

Researchers at the University of Washington have demonstrated more similarities between IAPP clusters and those in Alzheimer’s. The team previously showed that a can block the formation of small, toxic Alzheimer’s protein clusters. Now, in a recently published paper in Protein Science, the researchers have used a similar peptide to block the formation of IAPP clusters.

Scientists identify burned bodies using technique devised for extracting DNA from woolly mammoths, Neanderthals

A technique originally devised to extract DNA from woolly mammoths and other ancient archaeological specimens can be used to potentially identify badly burned human remains, according to a new study from Binghamton University, State University of New York.

The research is published in the Journal of Forensic Sciences.

Fire victims may be identified through dental records if the teeth are preserved and such records exist. Frequently, DNA testing is the only way to identify badly burned bodies. Researchers can extract usable DNA from bones subjected to conditions between 200 and 250 degrees Celsius; between 350 and 550 degrees, there is a steep drop-off in the concentration of DNA.

Grey Swans on the Horizon; AI, Cyber, Pandemics, and ET Scenarios

Back in 2007, statistician Nassim Nicholas Taleb described a “Black Swan” as an occurrence that “is an outlier,” meaning it deviates from accepted wisdom. Accordingly, black swans are unanticipated, and uncommon, and can result from geopolitical, economic, or other unanticipated occurrences.

Because of major advances in computing, we can now anticipate, and, with applied risk management, help contain what was described as Black Swan events. So, in effect, with predictive analytical capabilities enabled by artificial intelligence, most Black Swans have now morphed into what is now termed Grey Swan events.

An industry leader in the insurance sector, Aon, defines Black Swan events as unexpected, unanticipated shocks. They depict unexpected but predicted surprises that are known as “Grey Swan events.” Similar to Black Swans, they can have a profound effect.

THIS Therapy Slows Down The Aging Clock By 31% — Successful Clinical Cases

Dr. Dian Ginsberg presents what causes aging and successful cases of patients who shows DunedInPace of aging reduction by using a therapy in this video.

For More About Dr. Dian Ginsberg.
Website – Studies \& Researches.
https://www.youngplasmastudy.com/
https://dianginsbergmd.com/

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