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AI in Breast Cancer Stem Cells and Proteomics

Precision Oncology Perspectives

  • 1st Edition - June 26, 2026
  • Latest edition
  • Editors: Manzoor Ahmad Mir, Hina Qayoom Khan
  • Language: English

AI in Breast Cancer Stem Cells and Proteomics: Precision Oncology Perspectives explores the intersection of artificial intelligence, cancer stem cell biology, and proteomics to add… Read more

Description

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. This book provides a translational framework for precision oncology through advanced computational and molecular approaches. It gives insight into the biology of breast cancer stem cells (BCSCs), their heterogeneity, and the role of proteomics in identifying biomarkers and therapeutic targets. The integration of AI enables predictive modeling, drug resistance profiling, and multi-omics data analysis, offering novel insights into personalized treatment strategies. Academics benefit from a comprehensive, interdisciplinary resource that bridges cancer biology, bioinformatics, and clinical applications.

The book equips researchers, clinicians, and students with case studies, algorithmic tools, and practical workflows to translate proteomic data into actionable medical interventions.

Key features

  • Provides AI-driven frameworks for analyzing proteomic data in breast cancer stem cells
  • Explores post-translational modifications and protein–protein interactions as therapeutic targets
  • Offers interdisciplinary case studies linking computational biology with clinical oncology

Readership

Researchers, clinicians, and graduate-level students in cancer biology, tumor immunology, molecular biomedicine, oncology, and biomedical informatics

Table of contents

1. Introduction to Breast Cancer Stem Cells and Tumor Heterogeneity

2. Breast Cancer Stem Cells Across Subtypes: Biology, Challenges and Recent Advances

3. Proteomics in Breast Cancer: Technologies and Applications

4. Foundations of Artificial Intelligence in Biomedical Research

5. AI for Stem Cell Characterization, Imaging and Diagnostics

6. Proteomic Biomarkers and AI-Based Predictive Models

7. AI for Drug Resistance and Therapy Response Prediction in BCSCs

8. Multi-Omics Integration Using AI: From Bench to Bedside

9. Interface between BCSCs and Immunotherapy: Implications for personalized medicine with case studies

10. Future Directions: Smart Oncology and Personalized Medicine”

Product details

  • Edition: 1
  • Latest edition
  • Published: June 26, 2026
  • Language: English

About the editors

MM

Manzoor Ahmad Mir

Dr. Manzoor Ahmad Mir holds a Master's in Zoology from HNBG Central University and completed his Ph.D. in Immunology at Jawaharlal Nehru University, New Delhi, and CSIR-Institute of Microbial Technology, Chandigarh. His research focuses on cancer biology, combination therapy in breast cancer, and tuberculosis immunology. Dr. Mir has published over 50 high-impact research papers and book chapters. He has authored more than 15 books with international publishers of repute. He serves on the editorial boards of prestigious journals. He is a member of several scientific organizations, including the American Association of Cancer Research and the Royal British Society. He has received the TARE Fellowship and the SRFP-2019 from the Indian Science Academies. Dr. Mir teaches Cancer Biology and Immunology at the University of Kashmir, where he heads the Department of Bioresources.

Affiliations and expertise
Department of Bioresources, School of Biological Sciences, University of Kashmir, Srinagar, India

HK

Hina Qayoom Khan

Dr. Hina Qayoom is an accomplished researcher and academic currently serving as Assistant Professor in the Department of Bioresources, School of Biological Sciences, Amar Singh College, Cluster University, Jammu & Kashmir. She earned her Ph.D. in Bioresources from the University of Kashmir, specializing in Cancer Biology, where her research centered on targeting breast cancer using natural compounds with anti-cancer potential. Her doctoral work, acclaimed internationally, was selected for presentation at the prestigious ASCO 2024 Conference and published in the Journal of Clinical Oncology (Impact Factor 45.3). With over 78 peer-reviewed publications, an H-index of 18, and numerous articles in high-impact journals such as Cell Communication and Signaling, Biomedicine & Pharmacotherapy, Frontiers in Pharmacology, and Critical Reviews in Oncology/Hematology, Dr. Qayoom has made significant contributions to understanding breast cancer pathogenesis, stemness, and therapy resistance. Her work explores some of the most challenging aspects of cancer progression and therapy resistance, contributing significantly to the advancement of targeted cancer therapeutics.

Affiliations and expertise
Assistant Professor, Department of Bioresources, School of Biological Sciences, Amar Singh College, Cluster University, Jammu and Kashmir, India