Artificial Intelligence for Neural Health: Diagnosis and Treatment

This book explores the transformative role of artificial intelligence (AI) in diagnosing and treating neurological disorders. The book is essential for healthcare professionals, AI researchers, and neuroscientists as it bridges the gap between cutting-edge AI technologies and practical medical applications.

Rishabha Malviya is an associate professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Uttar Pradesh, India, with 13 years of research experience. He completed his B. Pharm. from Uttar Pradesh Technical University and M. Pharm. (pharmaceutics) from Gautam Buddha Technical University, Uttar Pradesh, India. His Ph.D. work focused on novel formulation development techniques. His research interests include formulation optimization, nanoformulation, targeted drug delivery, and the characterization of natural polymers as pharmaceutical excipients. He has authored over 150 research papers, holds 51 patents, and has edited 70 books. Recognized as one of the world’s top 2% scientists by Elsevier BV and Stanford University for 2020, 2021, and 2022, he has received numerous accolades, including an Outstanding Reviewer award from Elsevier.

Shivam Rajput is a distinguished researcher who completed his B. Pharm. from Pt. B. D. Sharma University of Health Sciences and M. Pharm. from Galgotias University. He has authored 2 books and over 10 book chapters. His research contributions include several papers indexed in Scopus, published by reputed publishers. He has also presented his work at more than 10 international conferences, establishing himself as a significant contributor to the field.