Neural networks will make medicines cheaper and more accessible

Modern computer technologies with eachmore and more penetrate into the field of medicine. According to experts, this will lead to a serious leap in the development of medical technologies in the next decade. The development of artificial intelligence plays a particularly important role in this. Pharmacology is called one of the most promising industries where AI capabilities will be most in demand. Moreover, some pharmaceutical companies are already using machine learning and neural networks for drug development. One of the most striking examples of the use of the power of artificial intelligence in pharmacology is the development of vaccines against COVID-19, which took only a few months instead of several years.

Thanks to artificial intelligence, medicine in the near future can move to a qualitatively new level

Content

• 1 How neural networks will help pharmacists create drugs
• 2 Artificial intelligence is already working on the creation of drugs
• 3 Neural networks will create the "Elixir of Youth"?
• 4 AI will help create drugs for rare diseases

How neural networks will help pharmacists create drugs

Currently, the creation of a new drugthe drug takes about ten to fifteen years. At the same time, most of the time is spent on drug testing. Each new drug must first be tested in cell cultures. Often dozens or even hundreds of chemical compounds are tested. Then the drug is tested for a long time on living organisms.

But testing is not only long, but alsoextremely expensive procedure. The costs range from 1 to 2.5 billion dollars. At the same time, according to statistics, of all substances that are involved in preclinical development, only 2% are tested and receive permission to start production.

Clinical drug trials take many years and cost billions of dollars

The rest are not effective enough.or fail to be tested due to severe side effects. As a rule, their development stops or starts from the very beginning. Machine learning, on the other hand, will allow you to find out in advance how effective and safe the drug will be.

This will not only save billionsdollars, but the time for drug development will be reduced by at least two times. At the same time, the probability of successful drug testing, according to experts, will increase to 80%.

Artificial intelligence is already working on the creation of drugs

There are currently about 30large pharmacological projects that involve AI. The most famous project, as we said above, is the development of vaccines against coronavirus. Usually this process takes at least three years, but modern technology has reduced the period to several months.

AI made it possible to quickly create coronavirus vaccines

In fact, we have witnessedself-learning networks have made another revolution in science, solving some of its most difficult problems. Such problems include the prediction of the structure of previously unknown new proteins. It is this AI assistance that has played a key role in the rapid development of vaccines.

In this case, we are talking about the use of mRNA,which provides the immune system with the ability to fight the SARS-CoV-2 virus without affecting human DNA. That is, data on the structure of the protein are important both for the study of new viruses and their patterns of behavior, and the development of effective vaccines.

Experimental modeling of the structureprotein is an extremely long and very laborious process. As a rule, it requires many months of painstaking work and serious resources. Therefore, we can say that we are lucky that COVID-19 appeared in the era of the development of AI, otherwise we would have to wait a long time for vaccines.

AI helps scientists create a drug that slows down aging at the cellular level

Will neural networks create an "Elixir of Youth"?

Most pharmaceutical companies incurrently use the capabilities of AI only as an auxiliary tool for the synthesis of drugs. But, as we said above, the potential for these technologies is much higher, and some individual companies have gone further in their development. For example, the Irish biotech company Nuritas is using the power of AI to search for active organic compounds. The latter can be effective in the treatment or prevention of various diseases.

According to the experts themselves, the analysis of chemicalAI-assisted connections are 600 times more accurate and 10 times faster than conventional methods. But, of course, it is still impossible to fully rely on artificial intelligence. When he proposes a particular compound, biochemists begin to study it.

Nevertheless, Nuritas already has 65 patents inmedical industry. Currently, the company's employees are working on the creation of drugs for muscle recovery, normalization of metabolism and even slowing down aging at the cellular level.

Scientists use AI to create drugs for rare diseases

AI will help create drugs for rare diseases

AI can also help solve the problemdrugs for rare diseases. Pharmaceutical companies are reluctant to invest in finding drugs for such diseases, which is not surprising. The solution to this problem was taken up by the British biotechnology company Healx.

Using neural networks, Healx employees workon the creation of a database of rare diseases, which includes data from scientific materials, patient databases, as well as drug studies. This base has already helped create a drug for Martin-Bell syndrome. Moreover, the team spent only 18 months on its development.

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According to experts, AI can also findapplication in practical medicine. For example, scientists are already using it to individually calculate the dosage of toxic drugs. In addition, machine learning technologies can select combinations of drugs for more effective treatment. In addition, as we discussed earlier, AI can be used in the field of diagnosing diseases.

All things considered, the medical breakthrough predicted by many experts is only a matter of time. Moreover, AI inspires hope that not only its quality will improve, but also its accessibility.