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Gene Therapy for Neurological Disorders

Molecular Approaches for Targeted Treatment

Rishabha Malviya Arun Kumar Singh Priyanshi Goyal Sonali Sundram

$357

Hardback

Forthcoming
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English
Apple Academic Press Inc.
06 December 2024
Neurological illnesses pose one of the biggest hazards to the healthcare system today. This new book brings together the latest methods of gene therapy that can be used to treat both inherited and sporadic neurodegenerative diseases. It presents the most significant advances in gene transfer methods as well as the most recent understandings of the mechanisms behind specific neurodegenerative illnesses, placing these into the context of gene therapy approaches for the central nervous system. The book introduces the basics of neurodegenerative conditions and the physiological basis for their occurrence in humans. It also discusses the various proteins useful in neuro diseases and their viral applications. The book explores how stem cells can be used to learn about the future of gene therapy along with the significance of the sequences that silence genes. It discusses the functions of astrocytes in different brain regions, as well as in-vivo research in gene therapy for neurodegenerative disorders.
By:   , , ,
Imprint:   Apple Academic Press Inc.
Country of Publication:   Canada
Dimensions:   Height: 229mm,  Width: 152mm, 
ISBN:   9781774916780
ISBN 10:   1774916789
Pages:   222
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Hardback
Publisher's Status:   Forthcoming

Rishabha Malviya, PhD, is an Associate Professor of Pharmacy at the School of Medical and Allied Sciences, Galgotias University, Uttar Pradesh, India. He has authored more than 150 research and review papers for national and international journals of repute and has edited 13 books. He holds over 50 patents. Listed in the World’s Top 2% Scientists list by Elsevier BV and Stanford University, he is a reviewer, editor, and editorial board member of more than 50 national and international journals. Arun Kumar Singh, MPharm, is affiliated with the Department of Pharmacy, School of Medical & Allied Sciences, Galgotias University, Uttar Pradesh, India. His areas of interest include nanoformulation, blockchain, IoT, machine learning, cancer, artificial intelligence, and big data. He has published several book chapters in the field of big data as well as review papers. Priyanshi Goyal, MPharm, is affiliated with the Department of Pharmacy at the School of Medical and Allied Sciences, Galgotias University, Uttar Pradesh India. She has authored a book chapter and is the author of one book from Apple Academic Press, Taylor and Francis Group. She earned her BPharm from Aligarh College of Pharmacy, Aligarh, affiliated with AKTU, Lucknow, and her MPharm from Galgotias University, Greater Noida, India. Sonali Sundram, MPharm, is an Assistant Professor in the School of Medical and Allied Sciences at Galgotias University, Greater Noida, Uttar Pradesh, India. Previously, she worked as a research scientist on a project of ICMR at King George’s Medical University, Lucknow, India; as well as at BBDNIIT (Babu Banarasi Das Northern India Institute of Technology), Lucknow. Her PhD (Pharmacy) work was in neurodegeneration and nanoformulation. She has edited four books and has organized more than 15 national and international seminars, conferences, and workshops. She has several patents, both national and international, to her credit.

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