PERSONALIZED CALCULATOR FOR PREDICTION OF OPIOID-ASSOCIATED PHARMACORESISTANCE IN PATIENTS WITH PAN CREASE CANCER

We studied the complex effect of genetic and non-genetic factors on the formation of opioid-associated resistance using machine learning methods in patients with chronic pain syndrome against the background of pancreatic cancer. Fifty-seven factors for predicting the realization of pharmacoresistance were studied in all examined Caucasian patients. The most significant predictive factors were determined and a software-analytical complex "Algorithm for assessing the significance of clinical and pathogenetic factors for predicting the safety of opioid therapy" was developed.