In particular, the use of Deep Learning (DL) methods for the classification and differentiation of tauopathies may lead to finding particular features of the behavior of the Tau protein in the formation of NFTs, which currently only depends on the visual appreciation of biochemical and biomedical experts with a possible risk of subjectivity among the different criteria for interpretation. The gene discussed is MAPT; the disease is tauopathy.