The Prognostic Model of Antitumor Effect of Targeted Drugs in Immunotherapy

Abstract

A prognostic model for constructing hypotheses about the relationship of combinations of cytokines with the proliferative activity of cancer cells is proposed. The model is based on the use of inductive inference methods. The methodology takes into account the synergistic interaction of cytokines and uses sequential construction of logical formulas for selecting groups of cytokines, a statistical analysis of contingency tables and logical integration of the obtained estimates. Implementation of the proposed method in the information system of forecasting the effect of targeted anticancer drugs in immunotherapy will greatly accelerate research in this area.

Passive Microwave Radiometry (MWR) and Mirna for Breast Cancer Diagnostics

“…The author noted a tenfold increase in microRNAs that induce apoptosis and cell growth. The study of the role of miRNA 137,199 and others made it possible to conduct a more informative analysis of the body's resistance to tumour aggression [19][20][21]…”

Passive Microwave Radiometry and microRNA Detection for Breast Cancer Diagnostics

“…The authors of these studied noted a ten-fold increase in the number of miRNAs that induce apoptosis and cell growth. Another study on the role of miRNAs 137, 199, and others provided an informative analysis of the body's resistance to tumor aggression [25][26][27] for early cancer diagnosis.…”