Exploring Pain Insensitivity Inducing Gene ZFHX2 by using Deep Convolutional Neural Network

Abstract

Chronic pain is one of the major health issues which affects wellbeing of casualties ranging from orthopedic damages to unbearable cancer pain. Though analgesics aids in reducing pain sensitization, it has its own defect of causing side effects such as drug resistance and habit formation. Evolutionary research has evidenced that by mutating "ZFHX2" gene, one can achieve pain insensitivity. This work emphases on 1) Designing an early mutation detection tool to identify the presence of pain inducing gene ZFHX2 among various patients from pathological biopsy images using deep convolution neural network. 2) Pharmacogenomic analysis comprising of genomics, epigenomics, metagenomics, environmental genomics has been performed in ZFHX2 gene to identify genetic signature, one of the reasons behind causing chronic pain. 3) Block chain algorithm has been used to secure valuable patient clinical data obtained from pharmacogenomic and other analysis to maintain records in order to avoid clinical theft.