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Lung cancer diagnosis and treatment ...

Rezaei, Nima.

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Lung cancer diagnosis and treatment = an interdisciplinary approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Lung cancer diagnosis and treatment/ edited by Nima Rezaei.
其他題名:	an interdisciplinary approach /
其他作者:	Rezaei, Nima.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xi, 364 p. :ill. (some col.), digital ;24 cm.
內容註:	Application of Artificial Intelligence in Lung Cancer Detection: The Integration of Computational Power and Clinical Decision-Making -- Advancement in Lung Cancer Diagnosis: A Comprehensive Review of Deep Learning Approaches -- AI Role to Decipher High-Dimensional Data for Early Prognosis of Non-Small-Cell Lung Cancer -- Emerging Paradigms in Lung Cancer Treatment: Recent Breakthroughs and Innovation -- Targeting Immune Determinants of Creating Tumor Heterogeneity in Lung Cancer -- Checkpoint Inhibitors in Non-small Cell Lung Cancer: Potentials and Challenges -- Nanoparticles: A Treatment Modality for Lung Cancer -- Applications of Metallic Nanoparticles in Lung Cancer Treatment -- Combination of Stereotactic Ablative Radiotherapy and Systemic Therapy in Oligoprogressive Non-small Cell Lung Cancer -- Challenges in First-Line Osimertinib Therapy in EGFR-Mutant Non-small Cell Lung Cancer: Acquired Resistance Is the Issue -- Lung Immunotherapy in the Elderly with NSCLC - the Who, the What, and the When -- Drug Resistance in Lung Cancer -- Patient-Derived Organoids as a Stem Cell Model to Study Lung Cancer -- The Multidisciplinary Management of Lung Cancer in the European Community.
Contained By:	Springer Nature eBook
標題:	Lungs - Cancer -
電子資源:	https://doi.org/10.1007/978-3-031-74329-0
ISBN:	9783031743290

Lung cancer diagnosis and treatment = an interdisciplinary approach /
Lung cancer diagnosis and treatmentan interdisciplinary approach /[electronic resource] :edited by Nima Rezaei. - Cham :Springer Nature Switzerland :2024. - xi, 364 p. :ill. (some col.), digital ;24 cm. - Interdisciplinary cancer research,v. 92731-457X ;. - Interdisciplinary cancer research ;v. 9..

Application of Artificial Intelligence in Lung Cancer Detection: The Integration of Computational Power and Clinical Decision-Making -- Advancement in Lung Cancer Diagnosis: A Comprehensive Review of Deep Learning Approaches -- AI Role to Decipher High-Dimensional Data for Early Prognosis of Non-Small-Cell Lung Cancer -- Emerging Paradigms in Lung Cancer Treatment: Recent Breakthroughs and Innovation -- Targeting Immune Determinants of Creating Tumor Heterogeneity in Lung Cancer -- Checkpoint Inhibitors in Non-small Cell Lung Cancer: Potentials and Challenges -- Nanoparticles: A Treatment Modality for Lung Cancer -- Applications of Metallic Nanoparticles in Lung Cancer Treatment -- Combination of Stereotactic Ablative Radiotherapy and Systemic Therapy in Oligoprogressive Non-small Cell Lung Cancer -- Challenges in First-Line Osimertinib Therapy in EGFR-Mutant Non-small Cell Lung Cancer: Acquired Resistance Is the Issue -- Lung Immunotherapy in the Elderly with NSCLC - the Who, the What, and the When -- Drug Resistance in Lung Cancer -- Patient-Derived Organoids as a Stem Cell Model to Study Lung Cancer -- The Multidisciplinary Management of Lung Cancer in the European Community.

The "Lung Cancer Diagnosis and Treatment: An Interdisciplinary Approach" is the ninth volume of the "Interdisciplinary Cancer Research" series, publishes comprehensive reviews on the diagnosis and treatment of lung cancer. Application of artificial intelligence in lung cancer detection is explained well. Recent advances in the treatment of lung cancer is presented in this volume, while opportunities and challenges in immunotherapy are discussed. This interdisciplinary series is of special value to researchers working on oncology. This is the main concept of Cancer Immunology Project (CIP), which is a part of Universal Scientific Education and Research Network (USERN) This interdisciplinary book will be of special value to researchers, oncologists, and oncosurgeons who wish to extend their knowledge on lung cancer.

ISBN: 9783031743290

Standard No.: 10.1007/978-3-031-74329-0doiSubjects--Topical Terms:

2123187
Lungs
--Cancer

LC Class. No.: RC280.L8 / L86 2024

Dewey Class. No.: 616.99424

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