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The Naked Scientists Podcast

Depression drugs, deepfakes, and fingerprint discoveries

The Naked Scientists Podcast

Dr Chris Smith

Science Radio, Engineering, Naked Scientists, Natural Sciences, Technology, Life Sciences, Health & Fitness, Medicine, Science

4.6957 Ratings

🗓️ 12 January 2024

⏱️ 34 minutes

🧾️ Download transcript

Summary

On this week's edition of The Naked Scientists: Why dose of old drugs might be a new way to beat depression; with many countries gearing up for general elections, why AI-generated deepfakes have got politicians worried; And we look back at the life of the pioneering British transplant surgeon, Professor Sir Roy Calne.. Like this podcast? Please help us by supporting the Naked Scientists

Transcript

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0:00.0

All engine running.

0:03.0

Absolutely genius.

0:04.0

Get this.

0:05.0

Welcome.

0:06.0

This is the show where we bring science.

0:08.0

What that essentially means is.

0:09.0

Discoveries,

0:10.0

resources, questions, research, technology, unbelievable.

0:13.4

Without further ado, this is the naked scientist.

0:17.8

Hello, welcome to the naked scientist,

0:19.6

the show where we bring you the latest breakthroughs

0:21.6

in science, technology, and medicine with me,

0:24.4

Chris Smith.

0:25.4

And coming up, why a dose of old drugs might be a new way to beat depression,

0:31.0

with many countries gearing up for general elections in the year ahead

0:34.0

why AI generated deepfakes have got some politicians very worried

0:38.0

and we look back at the life of the pioneering British transplant surgeon

0:42.0

Professor Sir Roy Khan.

0:44.0

From Cambridge University's Institute of Continuing Education,

0:48.0

this is the Naked Scientists. First this week new research suggests that mood altering drugs such as the anesthetic ketamine and the hallucinogen

1:04.8

silosibin can help alleviate symptoms in difficult to treat cases of depression.

1:09.8

That much was known, but why wasn't. And the experiments which were carried out on rats by a team

...

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