4.2 • 639 Ratings
🗓️ 10 August 2018
⏱️ 3 minutes
🧾️ Download transcript
Click on a timestamp to play from that location
0:00.0 | Understanding the human body is a team effort. That's where the Yachtel group comes in. |
0:05.8 | Researchers at Yachtolt have been delving into the secrets of probiotics for 90 years. |
0:11.0 | Yacold also partners with nature portfolio to advance gut microbiome science through the global grants for gut health, an investigator-led research program. |
0:19.6 | To learn more about Yachtolt, visit yawcult.co. |
0:22.7 | J-P. That's Y-A-K-U-L-T dot CO.J-P. When it comes to a guide for your gut, count on Yacult. |
0:33.8 | This is Scientific American 60-second science. I'm Deboki Chakravardi. Chemists come up with new substances |
0:41.6 | every year to go in everything from makeup to medicines. But introducing these chemicals into |
0:47.5 | products also raises questions about their potential dangers. Can they irritate the skin, the eyes, |
0:54.0 | could they damage DNA? |
0:56.0 | To identify these possible risks, companies often test chemicals on animals. But these trials |
1:01.7 | are expensive and time-consuming, and the results aren't always reliable. Plus, many consumers |
1:08.3 | are uncomfortable with their favorite products being tested on animals |
1:11.8 | like mice, rabbits, and guinea pigs. But we may be able to avoid animal tests without |
1:17.8 | sacrificing the ability to forecast problems, because researchers have developed a computer |
1:23.0 | program that can predict the toxic effects of new chemicals better than animal testing can. |
1:28.3 | The method relies on a database that the scientists created that includes the results of more |
1:34.0 | than 800,000 animal tests documented in various toxicology registries, covering about 10,000 |
1:40.9 | chemicals. Such databases make it possible for an expert to anticipate the dangers |
1:46.3 | of an untested chemical by comparing it to similar chemicals. This process is called read |
1:52.7 | across and it is the main alternative to animal testing. But read across is subjective. Different |
1:59.6 | people might choose different comparison chemicals based on what compounds they're familiar with. They could even come to opposing conclusions. So to remove that subjectivity, the researchers programmed a computer to do read-across on their database for them. Their method uses machine learning algorithms to compare the structures and toxic |
2:19.4 | effects of different chemicals. The result is a sort of map of chemical structures and properties |
... |
Please login to see the full transcript.
Disclaimer: The podcast and artwork embedded on this page are from Scientific American, and are the property of its owner and not affiliated with or endorsed by Tapesearch.
Generated transcripts are the property of Scientific American and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.
Copyright © Tapesearch 2025.