Chen | AI and Precision Medicine in Cancer Management | Buch | 978-1-041-11204-4 | www.sack.de

Buch, Englisch, 232 Seiten, Format (B × H): 178 mm x 254 mm

Reihe: AI in Clinical Practice

Chen

AI and Precision Medicine in Cancer Management


1. Auflage 2026
ISBN: 978-1-041-11204-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 232 Seiten, Format (B × H): 178 mm x 254 mm

Reihe: AI in Clinical Practice

ISBN: 978-1-041-11204-4
Verlag: Taylor & Francis Ltd


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 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 policy makers.

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

Chen AI and Precision Medicine in Cancer Management jetzt bestellen!

Zielgruppe


Professional Practice & Development


Autoren/Hrsg.


Weitere Infos & Material


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


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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.