AI in Breast Cancer Stem Cells and Proteomics : Precision Oncology Perspectives.

Format:

Book

Author/Creator:

Mir, Manzoor Ahmad.

Language:

English

Subjects (All):

Breast--Cancer.

Breast.

Precision medicine.

Physical Description:

1 online resource (417 pages)

Edition:

1st ed.

Place of Publication:

Chantilly : Elsevier Science & Technology, 2026.

Summary:

AI in Breast Cancer Stem Cells and Proteomics: Precision Oncology Perspectives explores the intersection of artificial intelligence, cancer stem cell biology, and proteomics to address the persistent challenges of relapse, metastasis, and therapy resistance in breast cancer.

Contents:

Cover image

Title page

Copyright

Contents

Contributors

About the Editors

Preface

Acknowledgments

Chapter 1 Introduction to breast cancer stem cells and tumor heterogeneity

Chapter 2 Breast cancer stem cells across subtypes: Biology, challenges, and recent advances

Chapter 3 Proteomics in breast cancer: Technologies and applications

Chapter 4 Foundations of artificial intelligence in biomedical research

Chapter 5 Artificial intelligence for breast cancer stem cell characterization imaging and diagnostics

Chapter 6 Proteomic biomarkers and artificial intelligence-based predictive models

Chapter 7 Artificial intelligence for drug resistance and therapy response prediction in breast cancer stem cells

Chapter 8 Multiomics integration with artificial intelligence: From bench to bedside in breast cancer

Chapter 9 Interface between breast cancer stem cells and immunotherapy: Implications for personalized medicine with case studies

Chapter 10 Future directions: Smart oncology and personalized medicine

Index.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

Other Format:

Print version: Mir, Manzoor Ahmad AI in Breast Cancer Stem Cells and Proteomics

ISBN:

9780443491108

OCLC:

1602092293