Microbiome in Head and Neck Cancer: Pathogenesis, Diagnosis and Therapeutic Implications: Part A

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· Advances in Immunology Book 169 · Academic Press
Ebook
258
Pages
Eligible

About this ebook

Microbiome in Head and Neck Cancer: Pathogenesis, Diagnosis and Therapeutic Implications, Volume 169 in the Advances in Immunology series, presents an authoritative exploration on how microbial communities contribute to the initiation, progression, and treatment of head and neck cancers. Chapters highlight The Microbiome of the Head and Neck Region, Overview Head and Neck Microbiota and the Factors Influencing the Head and Neck Microbiome, Mechanistic Pathways of Dysbiosis in Cancer Development, Oral Microbiota and OPMDs, Oral Potentially Malignant Disorders (OPMDs): An Overview, Oral Microbiota and Oral Cancer, Oral Squamous Cell Carcinoma (OSCC): An Overview, and much more.Additional chapters cover the Role of the Oral Microbiome in Oral Cancer (OSCC), Microbiome as a Prognostic Indicator in Oral Cancer, Diagnostic and Therapeutic Applications, Microbiome-Based Diagnostic Approaches, Modulating the Head and Neck Microbiome for Cancer Prevention, Microbiome-Targeted Therapeutics in Head and Neck Cancer, Artificial Intelligence in Microbiome Data Analysis: Applications in Head and Neck Cancer, and Challenges and Future Directions in Head & Neck Microbiome Research. - Presents current developments and comprehensive reviews in immunology - Provides the latest in a longstanding and respected serial on the subject matter - Focuses on recent advances in the field of immunology
Microbiome in Head and Neck Cancer: Pathogenesis, Diagnosis and Therapeutic Implications, Volume 169 in the Advances in Immunology series, presents an authoritative exploration on how microbial communities contribute to the initiation, progression, and treatment of head and neck cancers. Chapters...

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About the author

Akhilanand Chaurasia, MDS, is an academic clinician and researcher in Oral Medicine and Maxillofacial Radiology with specialized expertise in artificial intelligence applications in dental imaging and digital health. His work focuses on integrating AI-driven diagnostics, predictive modeling, and advanced imaging into clinical workflows, with an emphasis on imaging standardization and real-world implementation. He has led and contributed to multidisciplinary projects that bridge computational innovation with chairside decision-making, supporting the safe and effective use of AI in diagnostic practice. Dr. Chaurasia has received numerous international honors, including the Union for International Cancer Control (UICC) Fellowship and the IADR Star Network Fellowship, along with multiple prestigious fellowships and awards recognizing his contributions to clinical research and innovation. He holds several distinguished international professional fellowships across leading surgical and dental institutions.

Professor Mahvash Tavassoli earned her DPhil in Biochemistry in 1987 from the University of Sussex, focusing on cellular senescence and immortalisation. She pursued postdoctoral research at Fred Hutchinson Cancer Research Centre, studying the C-Myc oncogene, and later returned to Sussex to investigate EGFR receptor family kinases in breast and ovarian cancer. In 1990, she received a young career Research Fellowship from Cancer Research UK to study c-erbB2 signalling. Appointed Lecturer at King’s College London in 1995, she became Professor of Molecular Oncology in 2007, leading research on early detection and treatment of head and neck cancers. Her work explores radiotherapy resistance, tumour hypoxia, and cancer cell interactions, utilizing advanced 3D models. Additionally, she collaborates on developing the cytotoxic drug apoptin with the Chemistry Department. Her research is supported by various grants, fostering international collaborations and innovations in cancer treatment

Akhilanand Chaurasia, MDS, is an academic clinician and researcher in Oral Medicine and Maxillofacial Radiology with specialized expertise in artificial intelligence applications in dental imaging and digital health. His work focuses on integrating AI-driven diagnostics, predictive modeling, and ...

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