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Artificial Intelligence and Machine Learning focused Advancements in Neurology and Neuroscience


2nd Global Summit on Neurology and Neuroscience

January 24-25, 2022 | Webinar

Vinod Kumar Verma

Sant Longowal Institute of Engineering and Technology, India

ScientificTracks Abstracts: Neurosci

Abstract

Technology incorporation in the healthcare sector has led to a significant level in recent years in contrast with the conventional healthcare systems. The thoughts of the scientists and researchers reveal the necessity of technology compliant solutions for the medical areas like neurology and neuroscience. Majority of the factors and parameters required to judge the efficient functioning of the nervous system are computed and measured with the help of artificial intelligence and machine learning based approaches. In neuroscience, the inclination of the brain due to injury severely impacts the viability of blood circulation [1]. Data studies show the tolerance of the brain due to circularly arrest up to certain extent. A novel approach to investigate brain resuscitation has been proposed by Daniele et al. [1]. This approach used the data analytic and artificially intelligent strategy to deal with brain behavior. The importance of therapies for progressive multiple sclerosis (MS) was reported through a proposal in association with MS alliance by Dangond et al. [2]. These therapies affect the injury or problems associated with a number of patients from different perspectives like some therapies are specific to head, legs, arms, back etc. It is pertinent to note that the majority of the therapies used in the healthcare sectors are based on artificial intelligence and machine learning based technologies. A research work focused on the vertebral artery in hemifacial spasm was presented by Lee et al. [3]. This work highlighted the clinical feature and surgical methods for the hemifacial spasm using technological assisted platforms. The major advancements in the field of neuroscience[4-6] includes, Live 3D brain function mapping, seeing decisions being made in the brain, sleep breakthrough for artificial brains, tiny implant allows paralyzed patients to control a computer, neuroscientists turn normal neurons into regenerating ones, preventing neuro-degeneration etc.

Biography

Dr.Vinod Kumar Verma is an Assistant Professor in the Department of Computer Science and Engineering at Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India. Dr Verma has published many research papers in the International Journals of IEEE, Springer, Elsevier, Taylor and Francis. He is also serving as Editorial Board Member / Reviewer for many International Journals like IEEE Sensor Journal, USA, IEEE Transactions on Neural Networks and Learning Systems, USA, ELSEVIER Computer Networks: The International Journal of Computer and Telecommunications Networking, SPRINGER EURASIP Journal on Wireless Communications and Networking, SPRINGER Journal of Computers in Education, The Journal of Systemics, Cybernetics, and Informatics (JSCI)", IIIS, Florida, USA, International Journal of Communication Systems. Wiley Publications, International Journal of Distributed Sensor Networks (IJDSN), SAGE Publishing, UK, Dr Verma has served many International conferences in different capacities at UK (2012), USA (2014), JAPAN (2015), ITALY (2016) AUSTRALIA (2017), FRANCE (2018).