AI: technology has proved capable of creating new medicines

Artificial intelligence (AI) has revolutionized the way the world works, and now its feats promise to revolutionize the pharmaceutical industry by prospecting treatments individualized. Recently, a study carried out by the University of Vienna, Austria, used an AI to develop specific drugs according to the biological differences and the genetic pattern of each patient.

Matchmaking technology for the treatment of diseases

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The purpose of the study was to test the potential of a new matchmaking technology developed by a company based in UK called Exscientia. To do this, scientists collect a small biological sample from the patient, including normal and cancerous cells.

In this way, the technology used the collected sample to understand the needs of each patient's body individually. More generally, artificial intelligence was testing different drugs to see what worked. But instead of putting a patient through several months of chemotherapy, the technology was able to evaluate dozens of treatments at the same time, without having to expose the patient directly.

Individualized treatment through genetics and applied automation

Thus, through artificial intelligence, Austrian scientists were able to develop individualized treatments for each type of patient, performing advanced therapeutic combinations with genetic processing and automation applied.

It was with this approach that Paul (not his real name), 82 years old, was able to fight an advanced cancer in his blood system. The patient was enrolled in the University of Vienna Research after undergoing several rounds of unsuccessful traditional treatments.

Faced with AI, he got the right drug to fight cancer

After biological analysis with artificial intelligence, Paul received a drug marketed by Johnson & Johnson that doctors didn't try because previous tests suggested it wasn't effective in treating your type of cancer.

Two years later, the patient was in complete remission – cancer-free and with better prospects for life. quality of life.

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