Understanding the human body is a team effort. That's where the Yachtel group comes in.

Researchers at Yachtolt have been delving into the secrets of probiotics for 90 years.

Yacold also partners with nature portfolio to advance gut microbiome science through the global grants for gut health, an investigator-led research program.

To learn more about Yachtolt, visit yawcult.co.

.jp. That's Y-A-K-U-L-T.C-O.J-P. When it comes to a guide for your gut, count on Yacolt.

This is Scientific American's 60-second science. I'm Christopher in Taliatta.

The Food and Drug Administration has to recall hundreds of foods every year, like cookie snack

packs with chunks of blue plastic hiding inside, or salmonella tainted taco seasoning, or curry

powder, laced with lead.

It can take months before a recall is issued, but now researchers have

come up with a method that might fast track that process, leading to early detection and ultimately

faster recalls. The system relies on the fact that people increasingly buy foods and spices online,

and people tend to write reviews of products they buy online, which are like breadcrumbs to food safety

officials sniffing out dangerous products. The researchers linked FDA food recalls from 2012 to 2014

to Amazon reviews of those same products. They then train machine learning algorithms to differentiate

between reviews for recalled items and reviews for items that had not been flagged.

And the trained algorithms were able to predict FDA recalls three-quarters of the time.

They also identified another 20,000 reviews for possibly unsafe foods, most of which had never

been recalled. The results are in the Journal of the American Medical Informatics Association.

The World Health Organization estimates that 600 million people worldwide get sick annually from contaminated food,

and more than 400,000 people die from it.

So having tools that can enable us to detect this a lot of faster and hopefully investigate

...