AI and Precision Medicine in Cancer Management

1. Auflage 2026
ISBN: 978-1-041-11205-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 224 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 610 g

Reihe: AI in Clinical Practice

This book presents advancements of artificial intelligence (AI)-based technologies and digital omics, highlighting their applications in developing sustainable healthcare and precision medicine for managing diverse cancers. It presents cutting-edge AI tools, machine and deep learning models, and generative AI, integrated with the Internet of Things (IoT) and robotics to assist in cancer management involving prediction and prevention, diagnosis, drug discovery, drug design and development, smart healthcare, personalized medicine, and pharmacology. This book supports global public health and contributes to the goal of establishing "Good Health and Well-Being," one of "The Sustainable Development Goals (SDGs) 2030."

Key Features:

- Provides AI/omics-driven precision medicine and sustainable management of cancers

- Summarizes AI-driven drug and vaccine developments with AI tools for infectious disease prevention for clinicians, researchers, and policymakers

- Proposes AI-based strategies for disease prediction, surveillance, and diagnosis

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Chen, Jen-Tsung

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Onkologie, Krebsforschung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik

Inhaltsverzeichnis

Preface. The Editor. List of Contributors. 1. Artificial Intelligence in Biomedical Research: Technical Principles and Recent Advancements. 2. AI-Powered Precision Oncology: Advances, Applications, and Limitations. 3. AI-Driven Personalized Drug Discovery, Design, and Development. 4. Integrating AI Technology and Omics Tools in Cancer Management. 5. AI-Enhanced Precision Detection and Diagnosis of Cancers. 6. AI-Enhanced Big Data Analysis in Cancer Research and Treatment. 7. AI-Enhanced Precision Medicine for Skin Cancer. 8. AI-Enhanced Precision Medicine for Breast Cancer. 9. AI-Enhanced Precision Medicine for Prostate Cancer. 10. AI-Enhanced Precision Medicine for Stomach Cancer. 11. AI-Enhanced Precision Medicine for Liver Cancer. Index.

Über Autor(innen)

Dr. Jen-Tsung Chen is a professor of cell biology at the National University of Kaohsiung in Taiwan. He teaches cell biology, genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chen’s research interests include bioactive compounds, chromatography techniques, plant molecular biology, plant biotechnology, bioinformatics, and systems pharmacology. He is an active editor of academic books and international journals to advance the exploration of multidisciplinary knowledge involving plant physiology, plant biotechnology, nanotechnology, materials science, ethnopharmacology, and systems biology. He serves as an associate editor, editorial board member, and guest editor in reputed journals. Dr. Chen published books in collaboration with international publishers, and he is handling book projects on diverse topics such as AI technologies, drug discovery, drug development, herbal medicine, medicinal biotechnology, nanotechnology, bioengineering, plant functional genomics, plant speed breeding, epigenetics, functional RNAs, and CRISPR-based genome editing. Dr. Chen is a productive author in academic publications and was recognized as one of the World's Top 2% Scientists 2023, 2024, and 2025 by Elsevier and Stanford University. In 2025, Dr. Chen received the Springer Nature Editor of Distinction Award.