It is a productive AI model that can analyze existing data on IMIMA and drugs and estimate its properties. The model has been examined on data about previously confirmed drugs, which allowed to correctly predict the important properties of the drugs confirmed by laboratory tests.
Studies on the Arxiv platform have shown how machine learning can accelerate the process of creating new drugs. The usual development of the drug requires great costs between 2 and 3 billion dollars and lasts more than ten years. With the help of AI, this process can be significantly reduced and reduced.
The main task of the researchers is to find out how artificial intelligence can help the rapid testing of millions of molecule and interact with various goals. This allows you to accelerate the choice of the most promising candidates.
In addition, one of the main challenges in the development of drugs is how the drug affects the body and how it can interact with other drugs. IMA and it can help predict such interactions, avoid unwanted side effects and increase the accuracy of medical recommendations.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
