Artificial intelligence will evaluate the safety of combinations of drugs

Scientists from Stanford University have developed a system based on artificial intelligence to predict the side effects of a combination of the two drugs. It was called Dekagon. With the help of the system, physicians will be able to select the right combination of drugs for the treatment of complex diseases. In the future, experts plan to improve the system, writes UPI.com.

The researchers determined how more than 19,000 proteins in our body interact with each other, and how different drugs affect these proteins. Then the specialists developed a method for determining the patterns of occurrence of side effects. Scientists used the method of machine learning, after the researchers assessed the accuracy of the forecast.

Specialists analyzed medical literature. Five of the 10 predicted side effects were confirmed. For example, the system found that a combination of atorvastatin, lowering cholesterol, and amlopidine (a drug for the cores) can lead to muscle inflammation. Indeed, in 2017 such a side effect was recorded. On the average, each drug had 159 side effects. The most common were nausea, vomiting, headache, diarrhea and dermatitis.

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