IMR Press / FBE / Volume 11 / Issue 1 / DOI: 10.2741/E854

Frontiers in Bioscience-Elite (FBE) is published by IMR Press from Volume 13 Issue 2 (2021). Previous articles were published by another publisher on a subscription basis, and they are hosted by IMR Press on imrpress.com as a courtesy and upon agreement with Frontiers in Bioscience.

Open Access Review
Wilson’s disease: A new perspective review on its genetics, diagnosis and treatment
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1 Department of Radiology, Azienda Ospedaliero Universitaria, Cagliari, Italy
2 Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India
3 Department of Computer Science Engineering, NIT Goa, India
4 Department of Computer Science Engineering, Bennett University, India
5 Department of Neurology, IMIM - Hospital del Mar, Passeig Marítim 25-29, Barcelona, Spain
6 Department of Computer Science and Engineering, IIT, Varanasi, India
7 Department of Neurology, University Medical Centre Maribor, Slovenia
8 Department of Neuroscience, Brown University, Providence, USA
9 Department of Medical Sciences , University of Cagliari, Italy
10 Institute of Systems and Robotics, Biomedical Engineering, Portugal
11 Department of Medical Sciences, University of Cagliari, Italy
12 Medical School of Lisbon, Lisbon University, Portugal
13 Department of Neurosurgery, Greater Accra Regional Hospital, Ridge, Accra, Ghana
14 Apollo Hospitals, New Delhi, India
15 Neuro and Epileptology, BGS Global Hospitals, Bangaluru, India
16 Neurological Research Division, AtheroPoint™, Roseville, CA, USA
Send correspondence to: Jasjit S. Suri, Neurological Research Division, AtheroPoint™, Roseville, CA, USA, Tel: 916-749-5628, Fax: 916-749-5628, E-mail: jsuri@comcast.in
Front. Biosci. (Elite Ed) 2019, 11(1), 166–185; https://doi.org/10.2741/E854
Published: 1 June 2019
Abstract

Wilson’s disease (WD) is an autosomal recessive disorder which is caused by poor excretion of copper in mammalian cells. In this review, various issues such as effective characterization of ATP7B genes, scope of gene network topology in genetic analysis, pattern recognition using different computing approaches and fusion possibilities in imaging and genetic dataset are discussed vividly. We categorized this study into three major sections: (A) WD genetics, (B) diagnosis guidelines and (3) treatment possibilities. We addressed the scope of advanced mathematical modelling paradigms for understanding common genetic sequences and dominating WD imaging biomarkers. We have also discussed current state-of-the-art software models for genetic sequencing. Further, we hypothesized that involvement of machine and deep learning techniques in the context of WD genetics and image processing for precise classification of WD. These computing procedures signify changing roles of various data transformation techniques with respect to supervised and unsupervised learning models.

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