Computational Intelligence for Patient Care

Blockchain, Ai, and ML in Healthcare
1. Auflage 2026
ISBN: 978-1-77964-080-2
Verlag: Apple Academic Press

Buch, Englisch, 268 Seiten, Format (B × H): 156 mm x 234 mm

Computational Intelligence for Patient Care: Blockchain, AI, and ML in Healthcare explores the revolutionizing applications of blockchain, artificial intelligence, and machine learning in healthcare systems. The book attempts to close the gap between cutting-edge computational approaches and real-world healthcare applications by discussing the latest innovations in the field.

The book is divided into ten chapters, each of which focuses on a crucial area of healthcare-related computational intelligence. The book first provides an overview of blockchain technology and its uses in the healthcare industry, highlighting its potential for clinical research, medical fraud detection, and electronic health records (EHRs). It further explores the use of blockchain technology in the creation of digital healthcare systems, emphasizing the benefits of combining big data with blockchain technology while also going over institutional considerations and security issues.

The book goes on to discusses the use of AI in healthcare, covering topics such as the development of telemedicine, AI-assisted remote monitoring, and smart health monitoring systems. Additionally, the book explores AI’s inclusive approach to disease management, management of chronic illnesses, accuracy of diagnoses, and personalized therapy. It also covers the development of AI and ML in CNS drug discovery, emphasizing novel uses of these technologies in the development of pharmaceuticals for neurological disorders. It also discusses the problems and duties of regulators in regulating the integration of AI in healthcare, providing insights into future regulatory policies.

The book will be an invaluable resource for those looking to use technology to improve patient care and healthcare outcomes, showing computational intelligence’s transformative potential in this field.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Malviya, Rishabha

Sharma, Rishav

Sridhar, Sathvik Belagodu

Kumar, Suraj

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft

Inhaltsverzeichnis

Foreword by Dr. Dhruv Galgotia 1. Blockchain: A Distributed Ledger Technology for Patient Care 2. Development of Digital Healthcare with Blockchain: Prospects for Patient Care 3. Improvement of Patient Outcomes with AI 4. Telemonitoring: Artificial Intelligence to Monitor Patients Remotely 5. Disease Management and Patient Care with Artificial Intelligence 6. Intelligent Blockchain-Based Healthcare Data Management Systems for Patient Care 7. Transforming Cardiovascular Health: AI-Driven Diagnostic and Therapeutic Strategies 8. Revolutionizing Ophthalmology with AI and Deep Learning 9. Advancement of Artificial Intelligence and Machine Learning in Drug Discovery for the Central Nervous System Diseases 10. Navigating the Regulatory Landscape: Addressing Challenges in AI Integration within Healthcare Index

Über Autor(innen)

Rishabha Malviya, PhD, is an Associate Professor of Pharmacy at the School of Medical and Allied Sciences at Galgotias University, India. His areas of interest include formulation optimization, nanoformulation, targeted and localized drug delivery, and characterization of natural polymers as pharmaceutical excipients. He has authored more than 150 research and review papers for national and international journals, has edited 13 books, and holds over 50 patents. He is a reviewer, editor, and editorial board member for more than 50 national and international journals. His name has been included in the list of the World’s Top 2% Scientists by Elsevier BV and Stanford University.

Rishav Sharma is working as a scientist in the Formulation and Development Department of Aculife HealthCare Pvt Ltd. (Nirma Group), India. He has authored two books and eight book chapters with reputed international publishers. He has also published SCI/Scopus-indexed papers with reputed international publishers and attended national and international conferences.

Sathvik Belagodu Sridhar, PhD, is an Associate Dean and Professor at the RAK College of Pharmacy at RAK Medical and Health Sciences University, United Arab Emirates. He received an FIP (International Pharmaceutical Federation) fellowship for higher training in renal clinical pharmacy at Royal Adelaide Hospital and Queen Elizabeth Hospital in Adelaide, South Australia, and also received training in pharmacovigilance at the Uppsala Monitoring Centre, Sweden. Dr. Sridhar has published many book chapters and research papers and has presented at numerous national and international conferences.

Suraj Kumar is working as an Assistant Professor at the Pragya College of Pharmaceutical Sciences, India. He has attended international/national conferences and has published SCI-indexed publications with reputed international publishers, such as Elsevier, Wiley, and Bentham Science. He has also published eight book chapters, with one book under consideration for publication.