Biomedical Engineering/Nanotechnology

Machine Learning in Healthcare
Advances and Future Prospects

Rishabha Malviya, PhD
Niranjan Kaushik, PhD
Tamanna Rai
M. P. Saraswathy, MBBS, MD, DNB
Rajendra Awasthi, PhD

Machine Learning in Healthcare

In Production
Pub Date: Forthcoming May 2025
Hardback Price: $190 US | £150 UK
Hard ISBN: 9781779640000
Pages: Est. 188pp windex
Binding Type: Hardback / ebook
Notes: 10 color illustrations

Machine learning integration in healthcare has transformed technology for disease diagnosis, treatment, and management. This new book, Machine Learning in Healthcare: Advances and Prospects, explores the complex relationship between data science and medical science, highlighting the significant impact of machine learning algorithms in multiple areas of healthcare. The convergence of traditional and deep learning paradigms provides a look into a future in which predictive analytics and decision support systems will revolutionize healthcare delivery, demonstrating machine learnings promise in the medical industry.

Each chapter exemplifies the enormous possibilities made possible by computational technologies in various ways. These applications range from analyzing electronic health information to predicting, detecting, and treating cancer, cardiovascular disease, thyroid disorders, and diabetes. The exploration extends beyond conventional domains discussing topics such as wearable devices and mental health management through the use of machine learning technology.

Researchers and industry professionals working in data mining, healthcare and disease management, hospital management, data analytics, and computational technology will find value in this volume.

CONTENTS:
Preface
1. Machine Learning Algorithms in Disease Diagnosis and Management
2. Machine Learning-Based Diagnosis and Treatment of Cancer
3. Machine Learning-Based Detection and Management of Cardiovascular Diseases
4. Monitoring the Health Status of Thyroid Patients Using Machine Learning
5. Machine Learning-Based Wearable Devices for Healthcare Applications
6. Prediction of Diabetes Using Machine Learning
7. Mental Health Index Management Using Machine Learning
8. Machine Learning Approaches for Electronic Health Record Phenotyping


Index


About the Authors / Editors:
Rishabha Malviya, PhD
Associate Professor, Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India

Rishabha Malviya, PhD, has 11 years of research experience and is presently working as Associate Professor in the Department of Pharmacy at the School of Medical and Allied Sciences at 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 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.

Niranjan Kaushik, PhD
Professor, Department of Pharmacy, Galgotias University School of Medicine and Allied Sciences, Greater Noida, India

Niranjan Kaushik, PhD, is currently working as Professor in the Department of Pharmacy at Galgotias University School of Medicine and Allied Sciences, Greater Noida, India. He has been conducting research for over 15 years. He has edited two books. More than 15 of his research/review papers have been published in high-quality national and international journals. He has been granted two patents, and four patents have been published and undergoing assessment. Dr. Kaushik holds a doctorate in Pharmaceutical Chemistry from IFTM University, Moradabad, Uttar Pradesh, a master degree in Pharmacy from Shri Gopichand College of Pharmacy in Baghpat, Uttar Pradesh, and bachelor degree in Pharmacy from IFTM University in Baghpat, India.

Tamanna Rai
School of Medical and Allied Sciences, Galgotias University, India

Tamanna Rai completed her BPharm at the Rameesh Institute of Vocational and Technical Education (affiliated to AKTU), Lucknow, and her MPharm from Galgotias University, Greater Noida, India. She has attended many national and international conferences and published manuscripts in international journals.

M. P. Saraswathy, MBBS, MD, DNB
Associate Professor of Microbiology, ESIC Medical College and Hospital, Chennai, India

M. P. Saraswathy, MBBS, MD (Microbiology), DNB, is a Clinical Microbiologist involved in diagnostic work and is an antimicrobial steward. She has been working as an Associate Professor of Microbiology at ESIC Medical College, Chennai, India, where she is also the Nodal Officer for the ICTC-ART (Integrated Counseling & Testing Center-Anti-Retroviral Treatment) Centre. She is an executive council member of the Institute for Advanced Materials & Manufacturing-TN chapter for the years 2023–2026. She has published a book in collaboration with CBS Publishers, titled SARP Review of Microbiology 2017. Dr. Saraswathy has several national and international publications to her credit and serves as a reviewer for a photon-image-based postgraduate entrance exam book and for a target high-comprehensive book for nurses as well as for several journals, including International Journal of Microbiology Research, Journal of Evolution of Medical and Dental Sciences, etc. She is an enthusiastic teacher and has guided several ICMR-Short Term Studentship (STS) Programs and student projects. She has also organized several continuing medical education programs.

Rajendra Awasthi, PhD
Associate Professor of Pharmaceutics, School of Health Sciences, UPES University, Dehradun, India

Rajendra Awasthi, PhD, is a technically adept academician and pharmaceutical scientist with over 17 years of professional experience. Dr. Awasthi is currently working as an Associate Professor of Pharmaceutics at the School of Health Sciences, UPES University, Dehradun, India. His area of interest includes cutting-edge research based on the latest advancements in nanotechnology-based drug delivery systems. To support his expertise in the field of formulation development, he has more than 160 publications to his credit, including 20 book chapters, with an impact factor of nearly 300 (H index 28). He has one Indian (design) patent and two Australian innovation patents to his credit. He has supervised two PhD scholars (awarded) and more than 16 postgraduate students as main supervisor. Presently, he is supervising six PhD scholars working on nano-drug delivery systems. He has research collaborations with renowned researchers from the University of Sao Paulo in Brazil, the University of Technology Sydney in Australia, and the University of Bath in England. His biographical information has been included in Whos Who in the World. In addition to this, his name has been included in the top percentile rank of 2% scientists globally, published by Stanford University, California.




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