Artificial Intelligence for Neural Health

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.

• 1. Utilisation of Artificial Intelligence in the Field of Neurological Disorders: Existing Technology and Advancements 2. Utilising Artificial Intelligence in the Diagnosis and Treatment of Alzheimer's Disease 3. Applications of Artificial Intelligence in the Field of Epilepsy Diagnosis and Treatment 4. Implementations of Artificial Intelligence for Psychiatric Disorders 5. Incorporating Artificial Intelligence in Stroke Imaging and Treatment 6. Applying Artificial Intelligence for the Prevention and Treatment of Dementia 7. Application of Artificial Intelligence for the Identification and Surgical Management of Brain Cancer 8. Implementation of Artificial Intelligence Methods for Parkinson's Disease Diagnosis and Treatment 9. Application of AI-driven Robotic Systems for the Treatment of Neurological Diseases

“This book offers a comprehensive and insightful exploration into how artificial intelligence is reshaping diagnostics and treatment in neurology. It strikes a balance between technical depth and clinical relevance, making it an excellent resource for both researchers and healthcare practitioners. A much-needed contribution to the field.”Dr Ameeduzzafar Zafar; Jouf University, Saudi Arabia“This book is an impressive synthesis of AI applications in the context of neurological disorders. It explains complex models like deep learning and neural networks in an accessible manner, while grounding them in real-world neurological case studies. A must-read for those at the intersection of AI and medicine.”Dr Mukesh Roy; Baptist Health South Florida, USA“A well-structured and forward-thinking book that illustrates the potential of AI in early diagnosis and personalised care for neurological diseases. I appreciate the emphasis on both innovation and patient-centric approaches.”Dr Sathvik Belagodu Sridhar; RAK Medical & Health Sciences University, United Arab Emirates“The authors provide a clear, concise, and scientifically grounded narrative on how AI can transform neurological care. With practical examples and up-to-date research, this book bridges the gap between AI theory and clinical practice. It’s highly recommended for neurologists exploring digital innovation.”Dr Kamla Pathak; Uttar Pradesh University of Medical Sciences, India