Artificial Intelligence and MicroRNA: Role in Cancer Evolution

Micro RNAs play an important role in genetic cellular regulation that determines the development of various clinical diseases, in particular cancer. They strongly determine gene expression, that is, protein formation, which means that if this mechanism does not work properly, the development of malignant proteins is inevitable. Our work is dedicated to the application of deep neural network learning techniques to build predictive models for the diagnosis and clinical characterization of malignant tumors. As datasets for deep learning, we used the open clinical databases dbDEMC 3.0—the functional exploration of differentially expressed miRNAs in cancers of human and model organisms. A technique for non-invasive biomarkers based on miRNAs expression has been developed for all subtypes of lung and renal cancer. New AI-generated expressions of miRNAs for lung cancer subtypes are predicted, with the selection of the 6 most characteristic expressions by subtype, which forms the basis of a new generalized biomarker of the disease and its clinical conditions. Subsequent experimental verification of generalized biomarkers is expected.