Häftad, Engelska, 2027

Digital Twins in Oncology

From Computational Modeling to Precision Cancer Care

Av Fei Liu, Jie He

2349 kr

Kommande

Beskrivning

Computational Biology in Oncology: From Computational Modeling to Precision Cancer Care presents a comprehensive exploration of cancer digital twins as dynamic, patient-specific computational models that support precision oncology. The book examines how computational biology, artificial intelligence, and multimodal clinical data can be integrated to improve cancer diagnosis, treatment planning, and patient outcomes. The book covers the conceptual foundations of oncology digital twins, including data integration, computational modeling, machine learning, radiomics, digital pathology, multi-omics, and longitudinal patient monitoring. It further explores applications across the cancer care continuum, from risk stratification and treatment simulation to response monitoring, resistance prediction, and survivorship care. Dedicated chapters address validation, uncertainty, ethics, governance, and clinical implementation. Readers gain a clear understanding of how computational models can be translated into clinically meaningful decision-support tools. The book serves as a valuable resource for researchers, clinicians, and students seeking to bridge computational innovation and real-world precision cancer care.

Guides translation from computational modeling to clinical implementation, validation, and decision support
Integrates multimodal clinical, molecular, imaging, and longitudinal data within a unified computational framework
Defines and clarifies the emerging field of oncology digital twins and their relationship to precision medicine

Produktinformation

Utgivningsdatum: 2027-04-01
Mått: 191 x 235 x undefined mm
Format: Häftad
Språk: Engelska
Antal sidor: 330
Förlag: Elsevier Science
ISBN: 9780443557552

Utforska kategorier

Biologi

Mer information

Professor Fei Liu is a physician-scientist at the National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. His research lies at the intersection of artificial intelligence and oncology, with a focus on multimodal medical AI, tumor microenvironment biology, and digital twin approaches for precision cancer care. He has published work in leading journals, including Cell, Nature Medicine, Nature Genetics, Nature Reviews Cancer and Cell Reports Medicine.Professor Jie He is an Academician of the Chinese Academy of Sciences, Director of the National Cancer Center (China), President of the Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. A leading thoracic oncologic surgeon, he has made major contributions to the surgical and comprehensive management of lung cancer, esophageal cancer, and other thoracic malignancies, as well as to national cancer prevention, clinical research, quality control, and guideline development in China. In 2025, he was elected an International Member of the U.S. National Academy of Medicine (NAM). His leadership provides this book with a strong clinical oncology foundation and ensures that the discussion of digital twins remains connected to real cancer-care workflows, national implementation needs, and the practical translation of computational models into precision cancer care.

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