Computational Intelligence for Patient Care
Apple Academic Press Inc. (Verlag)
978-1-77964-080-2 (ISBN)
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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.
Rishabha Malviya, PhD, has over 12 years of research experience and is presently working as Associate Professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India. His areas of interest include formulation optimization, nanoformulation, targeted drug delivery, 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. He holds over 50 patents and has published many papers in reputed national and international journals, for which he received an outstanding reviewer award from Elsevier. He has edited 13 books (Wiley, Springer Nature, CRC Press/Taylor and Francis, Apple Academic Press, River Publisher, Lambert, and OMICS Publishing Group) and authored 15 book chapters. His name has been included in the World’s Top 2% Scientists list by Elsevier BV and Stanford University. He is reviewer, editor, and editorial board member of more than 50 national and international journals. He was an invited author for the magazine Atlas of Science as well as a pharma magazine dealing with B2B industry, Ingredient South Asia. He completed his BPharm from Uttar Pradesh Technical University and MPharm (Pharmaceutics) from Gautam Buddha Technical University, Lucknow Uttar Pradesh, India. His PhD (Pharmacy) work was in novel formulation development techniques. Rishav Sharma is working as a scientist in F&D Department of Aculife HealthCare Pvt Ltd. (Nirma Group), Ahmedabad, Gujarat, India. He has authored two books and eight book chapters with reputed international publishers. He has published 15 SCI/Scopus manuscripts with reputed international publishers and attended more than 10 national and international conferences. He completed his BPharm at the Kanpur Institute of Technology and Pharmacy, Kanpur, Uttar Pradesh, India, and MPharm at Galgotias University, India. Sathvik Belagodu Sridhar, PhD, is currently working as an Associate Dean and Professor at the RAK College of Pharmacy (RAKCOP), RAK Medical and Health Sciences University, located in Ras Al Khaimah, United Arab Emirates. He received an FIP fellowship for higher training in renal clinical pharmacy at Royal Adelaide Hospital and Queen Elizabeth Hospital in Adelaide, South Australia. Dr. Sridhar has been honored with a prestigious teacher award by the Society of Pharmaceutical Education & Research (SPER). He has also received training in pharmacovigilance at the Uppsala Monitoring Centre in Uppsala, Sweden. He has 25 years of experience teaching and practicing clinical pharmacy in India, Malaysia, and the UAE. His research interests include medication safety, pharmacovigilance, pharmacoepidemiology, and renal and psychiatry clinical pharmacy. Dr. Sridhar has more than 75 research papers published in reputable national and international journals, along with book chapters. He has presented more than 75 research papers at numerous national and international conferences as well and has been honored with many awards. He serves as a reviewer for various national and internal pharmacy practice-related journals. Dr. Sridhar completed his PhD in Clinical Pharmacy from Rajiv Gandhi University of Health Sciences, Bangalore, India. Suraj Kumar is working as an Assistant Professor at the Pragya College of Pharmaceutical Sciences, Gaya, Bihar, India. He has attended more than 10 international/national conferences. He has published more than 10 SCI publications with reputed International publishers, such as Elsevier, Wiley, and Bentham Science. He has published eight book chapters, with one book under consideration for publication. He completed his BPharmacy at SRM University, Chengalpattu, Tamil Nadu, India, and his MPharm at Galgotias University, Greater Noida, India.
Preface 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 Artificial Intelligence 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 AI and ML in Drug Discovery for the Central Nervous System Diseases 10. Navigating the Regulatory Landscape: Addressing Challenges in AI Integration within Healthcare Index
| Erscheint lt. Verlag | 7.4.2026 |
|---|---|
| Zusatzinfo | 5 Tables, black and white; 9 Illustrations, color; 22 Illustrations, black and white |
| Verlagsort | Oakville |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Medizin / Pharmazie ► Gesundheitswesen | |
| ISBN-10 | 1-77964-080-3 / 1779640803 |
| ISBN-13 | 978-1-77964-080-2 / 9781779640802 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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