Application of Artificial Intelligence in Neurological Disorders (Nutritional Neurosciences) - Tapa blanda

Acerca del autor

Prof. Mullaicharam is a professor of pharmaceutics at the College of Pharmacy, National University of Science & Technology, Muscat, Sultanate of Oman. She has more than two decades of teaching and research experience and has received awards at the national and international levels. She received many research grants and has 9 international patents. Her research interests include biomedical, nano pharmaceuticals, herbal formulation development, and applications of AI. She has publications and patents in the field of artificial intelligence in medical imaging and has published various research articles in peer-reviewed journals, and several book chapters. She is also serving as an editorial board member and a reviewer in various peer-reviewed journals and presented many papers at various conferences. She has authored many textbooks (USA and Germany) and is a reviewer of several peer-reviewed journals. She is a registered pharmacist, in India and a life member of professional bodies of IPA, ( The Indian Pharmaceutical Association) APTI (Association of Pharmaceutical Teachers of India), IPGA (Indian Pharmacy Graduates Association), and ISTE (International Society for Technology in Education).

Prof. Reeta Vijaya Rani is a professor in the pharmaceutics department of Surya School of Pharmacy in Vikravandi, Villupuram, and a member of the Surya Group of Institutions. She has combined experience of 27 years in pharmaceutical research and education.  She has authored and presented papers at both the national and international levels and is serving as an editorial board member and a reviewer in various peer-reviewed journals. She has extensive academic writing knowledge and experience.  She has written and edited various chapters and textbooks on pharmaceutical science. Prof. Reeta also holds the achievement of securing Indian & German patents. Her key research interests are biodiversity and novel therapeutic techniques.

Prof. Muralikrishnan Dhanasekaran, Ph.D., is a professor in the department of drug discovery and development at Harrison School of Pharmacy, Auburn University, USA.  He has more than 110 peer-reviewed international publications, and several book chapters, and is a reviewer of various peer-reviewed journals. Prof. Dhanasekaran's lab and research interests are in preclinical research and drug development in neuropharmacology. His current research involves elucidating the neuroprotective and neurotoxic effects of natural bioactive and synthetic compounds and discovering and developing drugs/compounds targeting epilepsy, alzheimer's disease, and parkinson's disease.

Prof. Musthafa Mohamed Essa, Ph.D., is a professor of nutrition at Sultan Qaboos University, Oman. He is an Editor-in-Chief for the International Journal of Nutrition, Pharmacology, Neurological Diseases. He is also acting as an associate editor for BMC complementary and alternative medicine and is an Editor for Frontiers in Neuroscience and Frontiers in Biosciences. Prof. Essa is an expert in the field of nutritional neuroscience/neuropharmacology and has published more than 182 papers, 60 book chapters, and 14 books. Prof. Essa is the recipient of several awards, including the best book in the world, National Research Award, Outstanding neuroscientist, and Distinguished Researcher. He has over 15 years of research and teaching experience in the field of nutritional neuroscience.

De la contraportada

This book discusses the role of artificial intelligence in neurological disorders, including, alleviating movement disorders, psychiatric disorders, diagnosis of neurological and neurodegenerative disorders, dementia, neuronal cancer, neuronal Infections, and brain diseases. It explores applications of artificial intelligence in the early diagnosis, prognosis, and development of new therapies against neurodegenerative disorders. This book also provides cutting-edge research using AI for studying neuroimage analysis, toward the discovery of new biological pathways and systems implicated in dementia and related diseases. It also reviews AI-based interventions in depression research and treatment. The chapter also examines the potential benefits of using AI to help manage depression, from improved access to coordinated care. This book is an essential source for students, researchers, academicians, and neurologists aiming to understand AI-based approaches for the diagnosis, treatment, and prevention of neurological disorders.