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

Hi, I'm Scientific American Podcast editor Steve Merski, and here's a short piece from the April

issue of the magazine in the section we call advances, dispatches from the frontiers of science,

technology, and medicine.

Hashtag flu by Rachel Berkowitz.

Forecasting influenza outbreaks before they strike could help officials take early action

to reduce related deaths, which total 290,000 to 650,000 worldwide every year.

In a recent study, researchers say they have accurately predicted outbreaks up to two weeks in advance

using only the content of social media conversations. The findings could theoretically be used

to direct resources to areas that will need them most. A team at the Pacific Northwest National

Laboratory in Washington State gathered linguistic cues from Twitter conversations

about seemingly non-flu-related topics, such as the weather or coffee. Based on this information,

the researchers nailed down when and where the next flu outbreaks were likely to occur. The researchers

used what's called a deep learning computer model

that mimics the layers of neurons and memory capabilities of the human brain. Their algorithm

analyzed how Twitter language style, opinions, and communication behaviors changed in a given

period and how such changes related to later reports of flu outbreaks.

The study was published in the journal PLOS 1. Computer scientists Svetlana Volkova, who led the study,

...