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Elsevier

Therapeutic Horizons in Non-Small Cell Lung Cancer

AI-Driven Innovations in Diagnosis and Treatment

  • 1st Edition - June 1, 2027
  • Latest edition
  • Editors: Vaishali Aggarwal, Vivek Kumar Garg, Harpal Buttar, Neelam Goel
  • Language: English

Therapeutic Horizons in NSCLC: AI-Driven Innovations in Diagnosis and Treatment explores how artificial intelligence transforms the diagnosis and management of non-small cell l… Read more

Description

Therapeutic Horizons in NSCLC: AI-Driven Innovations in Diagnosis and Treatment explores how artificial intelligence transforms the diagnosis and management of non-small cell lung cancer (NSCLC). The book offers an interdisciplinary overview of NSCLC biology, diagnostics, and therapeutic strategies, emphasizing AI and machine learning applications. It covers molecular pathogenesis, biomarkers, personalized therapies, and cutting-edge AI-driven tools integrated into clinical workflows. The content provides insights into global clinical practices, emerging precision medicine approaches, and innovative AI techniques such as predictive modeling and genomic data integration. It aims to bridge the gap between technological advances and clinical application, offering practical guidance for implementation. The book also addresses disparities in NSCLC care and promotes equitable, data-driven solutions for improved patient outcomes. This resource benefits clinicians, researchers, and data scientists by enhancing understanding of AI’s role in early detection, targeted therapies, and prognosis. It equips readers with actionable knowledge to translate AI innovations into real-world clinical and research settings, fostering collaboration across disciplines.

Key features

  • Provides a detailed overview of AI and machine learning applications in NSCLC diagnostics and therapeutics
  • Integrates molecular biology, clinical workflows, and technological innovations for a translational approach
  • Highlights global perspectives, disparities, and ethical considerations in AI-driven lung cancer management

Readership

Medical researchers, clinical oncologists, pathologists, healthcare professionals, and data scientists specializing in lung cancer and precision oncology

Table of contents

1. Global Epidemiology and Subtypes of NSCLC

2. Guidelines and Management in NSCLC

3. Risk Factors for NSCLC

4. Molecular Pathogenesis and Diagnosis

5. Case Studies in NSCLC Diagnosis and Treatment

6. Advances in Diagnosis and Clinical Management

7. Chemoresistance in NSCLC

8. Predictive Biomarkers in NSCLC

9. Plant-derived Markers against NSCLC

10. Liquid Biopsies and Next-Generation Sequencing

11. Immunotherapy and Checkpoint Inhibitors

12. Resistance to Targeted and Immunotherapies

13. Multi-Omics for Personalized Treatment

14. Emerging Therapies: Cell and Vaccine Approaches

15. AI in Early Detection of NSCLC

16. AI Integration into Clinical Practice

17. Global Case Studies of AI in NSCLC

18. Future Directions and Challenges

Product details

  • Edition: 1
  • Latest edition
  • Published: June 1, 2027
  • Language: English

About the editors

Vaishali Aggarwal

Editor
Vaishali Aggarwal, Ph.D. at PU – IIT Ropar Regional Accelerator for Holistic Innovations, Northern S&T Cluster, Chandigarh, India, specializing in immuno-oncology research. With more than a dozen years of experience, her work focuses on immunotherapeutics, including checkpoint inhibitors like PD1 and LAG3. She investigates tumor immunology and the tumor microenvironment, exploring how immune and cancer cells interact and respond to therapies. Dr. Aggarwal has trained at PGIMER and the University of Pittsburgh and has authored numerous research articles. She has extensive mentorship and leadership experience spanning several years. Her research contributions have been widely recognized, with numerous citations and book chapters to her name, reflecting her significant impact in the field.
Affiliations and expertise
PU – IIT Ropar Regional Accelerator for Holistic Innovations, Northern S&T Cluster, Panjab University, Chandigarh, 160014

Vivek Kumar Garg

Editor

Dr. Vivek Kumar Garg is an Associate Professor in the Department of Medical Lab Sciences at Rayat Bahra University, India. He earned his PhD in Neurology from the Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, and holds an M.Sc. in Medical Biochemistry. His research interests include cancer biology, genomics, epilepsy and neurological disorders, artificial intelligence in healthcare, biomarkers, clinical biochemistry, cardiovascular diseases, diabetes mellitus, and chronic kidney disease. His work focuses on the application of molecular, biochemical, and computational approaches to biomedical and translational research. He has contributed to research publications, academic books, and scholarly activities and has served as a reviewer and editorial board member for several international journals.

Affiliations and expertise
Department of Medical Lab Sciences, University School of Allied Health Sciences (USAHS), Rayat Bahra University, Mohali, Punjab, India – 140104

Harpal Buttar

Editor

Harpal S. Buttar, PhD, is Adjunct Professor in the Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of Ottawa, Canada, and also serves as Visiting Professor at Guru Nanak Dev University, India, and Honorary Professor at Amity University, India. He previously worked for more than four decades as a Senior Research Scientist and Assessment Officer in the Therapeutic Products Directorate of Health Canada. His research and professional interests include pharmacology, nutrition, functional foods, dietary interventions, lifestyle approaches to the prevention of cardiovascular disease, obesity, and diabetes, and the safety of drug interactions with herbal products and fruit juices. Dr. Buttar has contributed extensively to biomedical research through scholarly publications, book chapters, and international collaborations. He has served on the editorial boards of scientific journals, acted as an external examiner for postgraduate research degrees, and delivered invited lectures and seminars internationally. He is a Fellow of the International College of Nutrition and the International Academy of Cardiovascular Sciences.

Affiliations and expertise
Adjunct Professor, Department of Pathology and Laboratory Medicine University of Ottawa, Faculty of Medicine, Ottawa, Ontario, Canada

Neelam Goel

Editor
Neelam Goel, Ph.D., is an Assistant Professor in the Department of Information Technology at UIET, Panjab University, Chandigarh. With over fifteen years of experience, her expertise lies in bioinformatics, biomedical signal and image processing, gene prediction, cancer multi-omics, and neurodegenerative disorders. She has authored dozens of publications across international journals, conferences, and book chapters.
Affiliations and expertise
Assistant Professor in the Department of Information Technology, UIET, Panjab University, Chandigarh, India