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AI and Machine Learning for Cancer Care: Precision Medicine and Beyond

AI and Machine Learning for Cancer Care: Precision Medicine and Beyond
Author(s)/Editor(s): Manvi Mishra (Shri Ram Murti Smarak College of Engineering and Technology, Bareilly, India), Piyush Kumar (Shri Ram Murti Smarak Institute of Medical Sciences, Bareilly, India), Himanshi Khattar (Shri Ram Murti Smarak Institute of Medical Sciences, Bareilly, India)and Mohammad Zubair Khan (Islamic University of Madinah, Saudi Arabia)
Copyright: ©2026
DOI: 10.4018/979-8-3373-4312-9
ISBN13: 9798337343129
EISBN13: 9798337343143

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Description

Artificial intelligence (AI) and machine learning (ML) are rapidly transforming cancer care, offering new ways to detect disease earlier and improving patient outcomes. By analyzing vast amounts of medical data, these technologies can uncover patterns that are difficult or impossible for humans to recognize. As a result, medical professionals can make more accurate diagnoses and anticipate complications before they arise. Together, AI and ML are helping usher in a new era of precision oncology, where care is faster, and more effective.

AI and Machine Learning for Cancer Care: Precision Medicine and Beyond explores the potential of ML and AI in modern cancer care. It examines how advanced algorithms are revolutionizing the diagnosis, treatment, and management of cancer across various medical disciplines. Covering topics such as oncology, artificial intelligence, and machine learning, this book is an excellent resource for academicians, data scientists, healthcare administrators, policy makers, oncologists, and healthcare professionals.



Author's/Editor's Biography

Manvi Mishra (Ed.)
Dr. Manvi Mishra is the Associate Professor and Head of the department of Computer Science & Engineering at Shri Ram Murti Smarak College of Engineering Technology and Research, Bareilly, India. With 19 years of academic experience, she holds a Bachelor's in Information Technology (2006) and a Master's with honors in Software Engineering (2011) from Dr. A.P.J. Abdul Kalam Technical University, Lucknow. She earned her Ph.D. in Computer Science and Engineering from the same institution. Her research interests span Artificial Intelligence, Machine Learning, Radiological/Medical Image Processing, Cryptography and Network Security, Data Compression, and Software Engineering. Dr. Mishra has presented her work at national and international conferences and published in reputed journals. She is a member of IEI, CSI, and IEEE. Her accolades include the Bharat Vikas Award (2017), Young Woman Educator and Researcher Award (2021), and Woman Power India Award (2024), honoring her contributions to teaching, research, and social impact.

Piyush Kumar (Ed.)
Prof. Piyush Kumar is a distinguished Radiation Oncologist at Shri Ram Murti Smarak Institute of Medical Sciences, India, with over 18 years of academic and research experience. His expertise focuses on brain tumors, head and neck cancers, esophagus cancer, and cervix cancer. A prolific researcher, he has guided 21 theses and co-guided 40, published 80 papers in national and international journals, and contributed to books such as “Gynecological Malignancies – A Handbook for Post Graduates”. He is the Founding Editor-in-Chief of the SRMS Journal of Medical Sciences and has edited the institute’s quarterly newsletter Medivision since 2010. Awarded prestigious fellowships including: AROI–Dr. Reddy’s Overseas Fellowship (2014) AROI-Nucletron Overseas Fellowship (2009) Parwati Devi Gold Medal for Best Paper (2005) DST & CSIR Travel Grant (2007) for presenting research in Singapore. His work aims to improve cancer treatment, including dosimetric analysis of IMRT to reduce oral mucositis in head and neck cancers. Key Contributions: ✔ 187+ PG paper presentations guided ✔ Editor & academic leader in oncology research ✔ Award-winning researcher advancing radiation therapy.

Himanshi Khattar (Ed.)
Dr. Himanshi Khattar has completed M.B.B.S, MD,DNB Radiation Oncology, Fellowship in Diabetes Mellitus and CCEPC. Her Thesis was Dosimetric Analysis and Clinical correlation of Brachial plexus in Head and Neck cancers treated with Intensity modulated radiotherapy. Research Area: Her Research Areas are Head and Neck cancer, Artificial Intelligence. Breast cancer Number of Published papers: She has several published papers in and international journal such as: Khattar H, Kumar P, Navitha S. Delineation of Oral Mucosa as a Pseudo-Organ-at-Risk May Lead to a Decrease in the Incidence of Oral Mucositis: A Dosimetric Analysis of Intensity-Modulated Radiation Therapy Plans in Head and Neck Cancers. Cureus. 2022 Mar 31;14(3). Perspective of Recent Advances in Medical Research Vol. 12 Dosimetric Analysis of IMRT Plans in Head and Neck Cancers to Evaluate the Probability to Decrease Oral Mucositis. Special Award: She achieved Neil joseph Fellowship award in National AROICON 2022.and Age<35 yrs in National AROICON 2023.

Mohammad Zubair Khan (Ed.)
Prof (Dr). Mohammad Zubair Khan is a distinguished Professor in the Faculty of Computer and Information Systems, Islamic University of Madinah, Saudi Arabia. Recognized as one of the World’s Top 2% Scientists by Stanford University in 2023, he has made significant contributions to the fields of Machine Learning, Artificial Intelligence, Medical Image Processing, Cybersecurity, and High-Performance Computing. With over 19 years of teaching and research experience, Dr. Khan has supervised numerous Ph.D. and Master’s theses, published 100+ peer-reviewed articles in high-impact journals (including IEEE Access, Engineering Applications of AI, and Neurocomputing), and holds 7 patents. His research projects, funded by Saudi Arabia’s Ministry of Education and other institutions, focus on IoT, healthcare technology, and secure communication systems. An IEEE Senior Member and active participant in academic administration, Dr. Khan has served as Head of Department, ABET/NCAAA committee member, and curriculum designer. He is also a sought-after keynote speaker and guest lecturer. Education: Ph.D. in Computer Science & IT (MJP Rohilkhand University, India) M.Tech in Computer Science (UP Technical University, India) MCA (MJP Rohilkhand University, India)

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