AI predicts the antibiotic concentration in your blood.
AI optimizes and personalizes therapy for improved outcome.
A collaboration between IDLab, Universiteit Gent-imec, and UZGent
Infections are an important challenge in the Intensive Care Unit (ICU). After all, more than 50% of ICU patients have a serious infection and 70% of ICU patients are treated with at least one antibiotic. However, an international study shows that antibiotics are underdosed in up to 40% of them. This can lead to therapy failure, longer hospital stays and higher mortality. Moreover, this leads to long-term exposure to (possibly more powerful) antibiotics, which in turn promotes antibiotic resistance. The pharmacokinetics of antibiotics in these critically ill patients differ greatly from healthy individuals and are difficult to predict. It is therefore desirable to measure the antibiotic concentration in the blood. However, these blood tests are not routinely available, very labor intensive, and therefore expensive. The HEROI2C researchers have developed models that accurately predict the antibiotic concentration in the blood of a patient, using artificial intelligence, for the most commonly used antibiotics. Based on these predictions, dosing for the individual patient can be optimized by the doctors.
Using the predictions of antibiotic concentration in the blood, a dosing advice can be given to the doctor, optimized for the individual patient. This work is currently being researched.
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