AI and Precision Oncology

Nyhet

Innovations in Diagnosis and Drug Development

Häftad, Engelska, 2026

AvArun Kumar Singh,Prateek Agrawal,Niraj Kumar Jha

1 789 kr

Kommande

AI and Precision Oncology: Innovations in Diagnosis and Drug Development examines the transformative role of artificial intelligence and machine learning in oncology. This book addresses the urgent need for early cancer diagnosis and effective therapeutic treatments, highlighting how technological advancements enable rapid analysis of large datasets to enhance patient outcomes. The content explores clinical applications of next-generation sequencing (NGS) integrated with AI technologies, covering risk prediction, disease detection, biomarker identification, and therapeutic target discovery. It emphasizes the importance of bioinformatics tools in analyzing NGS data and showcases AI-powered applications that improve cancer diagnosis and prognostication. For the academic audience, this book provides valuable insights into the latest advancements in AI and precision oncology. It equips researchers and clinicians with knowledge on personalized treatment strategies and recent clinical studies, ultimately enhancing understanding of how AI can revolutionize cancer care and improve patient management.

Provides an in-depth exploration of how artificial intelligence and machine learning are integrated into various aspects of oncology, including diagnosis, treatment planning, and patient management
Emphasizes the critical role of next-generation sequencing technologies in precision oncology, detailing their applications in risk prediction, biomarker identification, and therapeutic target discovery
Highlights how AI-driven tools can assist in tailoring personalized treatment options based on genetic, environmental, and lifestyle factors

Produktinformation

Utgivningsdatum2026-11-01
Mått191 x 235 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor350
FörlagElsevier Science
ISBN9780443445835

Tillhör följande kategorier

Biologi inom Naturvetenskap och teknik

Dr. Arun Kumar Singh is an assistant professor in the Department of Pharmacy at Vivekanand Global University, Jaipur. He completed both his MPharm in Pharmaceutics and his PhD at Galgotias University, Greater Noida. His research strengths lie in AI-driven cancer research, nano-formulation, and the intersection of blockchain, IoT, machine learning, big data, and neuroscience with pharmaceutical science. He has authored books and contributed chapters on big data and cancer, and his work includes reviews published in reputable journals. His research appears across publishers such as IOP, Elsevier, CRC Press, and Wiley, reflecting a broad publication record and ongoing contributions to AI-enabled oncology and advanced drug delivery. Prateek Agrawal is professor and deputy dean at the School of Computer Science & Engineering, Lovely Professional University, Phagwara, Punjab, India. His research areas include natural language processing, computer vision, video processing, expert systems, deep learning applications, and other related topics. He is a senior member of IEEE and core member of IEEE India Council for Sustainable Development Activity, and is also a member of different reputed organizations like IET, MIR lab, and IAENG among others. Dr. Agarwal has published over 70 research papers in Scopus/SCIE indexed journals and conferences, 60 national patents, five edited books, and 10 book chapters. He is book series editor of the IOP series on next generation computing, and is a reviewer for many SCIE journals like Multimedia tools and Applications, Plos One, PeerJ, Oxford computer science, IEEE Access, and Ambient Intelligent & Humanized Computing.Dr. Niraj Kumar Jha is an assistant professor in the Department of Biotechnology at Sharda University, Greater Noida, India, and a member of the Royal Society of Biology, London. Previously, he served as an assistant professor at the Noida Institute of Engineering and Technology, affiliated with Abdul Kalam Technical University. He holds an MSc in Biotechnology from Vellore Institute of Technology and a Ph.D. in Biotechnology from Delhi Technological University, supported by a research fellowship from the Department of Biotechnology, Government of India. A prolific author, Dr. Jha has published over 150 scholarly works and presented his research at international conferences. He currently serves as an associate editor for IET Nanobiotechnology and guest editor for several high-impact journals. His research interests focus on the pathogenesis of neurodegenerative, cancer, respiratory, and cardiovascular diseases, as well as the therapeutic roles of small molecules from natural or synthetic sources.

1. Artificial Intelligence Applications in Clinical Oncology: A Comprehensive Overview2. Artificial Intelligence Tools in Cancer Diagnosis and Treatment3. The Role of Machine Learning in Personalized Cancer Care4. The Role of Artificial Intelligence in Advancing Digital Pathology for Oncology5. Transformative Applications of Artificial Intelligence in Digital Pathology: Bridging the Gap Between Research and Clinical Practice6. Imaging in Neuro-Oncology: Clinical Uses of Radiomics and Artificial Intelligence7. AI-Driven Digital Histopathology: Revolutionizing Prognostication and Treatment Efficacy in Cancer Care8. Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine9. Precision Oncology and Immune Therapy with the Use of AI and Digital Biomarkers in Precision Pathology10. Evaluating Artificial Intelligence's (AI) Significance in Clinical Oncology: Practical Applications of Machine Learning for Radiotherapy11. Regulatory Pathways for AI in Cancer Therapy12. Challenges Associated with AI in Cancer Therapy13. Current and Future Applications of Artificial Intelligence in Cancer Pathology: A Clinical Perspective