00:00With AI, the biology is revolving the way in which we are investigating and so find out
00:06impressive results. And it is new. In 2020, we saw an advance. Also in July of 2021, the
00:12laboratory of investigation of AI DeepMind did create the most complete map of human proteins
00:20to that moment. And in 2022, it was a Google system that could predict the structure of
00:27200 million proteins. But for March of this year, it was about 740 million.
00:34That's why we look at Monica Barrera, the professor of Biology at the University of El Bosque,
00:39to explain, now that there is a explosion of many of these technologies, how it is impacting
00:47not only to the biology, but to us, humans, in our daily lives.
01:00I read that several investigators, even one of them, Nobel of Medicine, said that what
01:07took months and years to accomplish was done in a week by AlphaFold. How is it helping
01:16the AI artificial intelligence to you, professionals of biology, to find results faster?
01:21This application of AI artificial intelligence has been between us for about 50 years, but
01:31now that it is already put in our houses, studies, colleges, universities, it has allowed us to
01:39and have allowed us to approach different studies, different approaches that before we didn't
01:48think about it, or that we didn't have any idea that they could be present. For example,
01:53now we have to see the possibility of finding different types of diseases, diseases, proteins,
02:01that we have been able to find a lot of time in order to identify them. Now, with this
02:06help of the AI artificial intelligence, we can predict more than 200 proteins in a much shorter time.
02:13What role has played, for example, AI artificial intelligence in the knowledge of human proteins?
02:22It has been important because a lot of documentation that has the AI artificial intelligence,
02:30we can see a lot of diseases with the results that it gives us to mitigate different types of situations,
02:42that as we mentioned before, we have been able to wait for a lot of time to wait for a
02:48lot of time to wait for a result,
02:48a investigation that now, with all the information that we have, the system can help us to compile and
02:55we can bring results interesting to us to approach this type of disease.
03:00Could the AI artificial intelligence, taking data from the patients,
03:06predict a disease in a person, and that even would give time to you to find possible cure?
03:14Well, Edwin, effectively, so is.
03:17In fact, there is already a lot of this topic ahead of, because as I said,
03:22there are a lot of data already compiled within the information that is conjugated,
03:29and now, recently, the studies came out to combat issues such as Alzheimer's, diabetes,
03:36a raíz of all the information that we have.
03:39So, yes, indeed, I think that within a little bit we will have good news about it.
03:45Dicen that the proteins in the body are like ladrillos that allow us to build our lives,
03:51and there are millions of proteins.
03:53Thanks to these advances of AI artificial intelligence,
03:57can they be able to advance, for example,
03:59in terms of human resistance to antibiotics,
04:02to malaria,
04:03or to any cellular change until today known?
04:08Well, Edwin,
04:09Efectivamente, yes,
04:10the AI artificial intelligence is doing a very important thing,
04:14because, as we know,
04:17the issue of bacteria is a big problem,
04:22of public health,
04:23and to have all this information compiled,
04:26there are good results with the management of antibiotics
04:32for different types of diseases.
04:35So, it is an interesting support,
04:37with all the documentation that we have,
04:40because,
04:41with certainty,
04:43the amount of mortality that has been presented
04:46to this situation will decrease
04:48thanks to these reports that we have.
04:50In Colombia,
04:52we have all the databases of data
04:53necessary to contribute
04:55to all the automatic learning
04:57that has been built with the AI artificial intelligence.
05:01Are we in that path?
05:03We are in that path,
05:05but we have a lot of time,
05:06because we are just incursionating.
05:09I think the COVID was something important
05:12for this to be able to advance.
05:14Technologically,
05:16the companies,
05:17the universities,
05:18we have advanced more than 10 years
05:20with the implementation of technology.
05:22So, I think we are going on a good path,
05:24but we still need a lot.
05:26we have everything.
05:27It's just a little bit crazy,
05:27to experience the opportunity
05:28Thank you very much.
05:28Okay.
05:29We appreciate you.
05:43You
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