04342nam a22006255i 4500 978-3-031-74329-0 DE-He213 20251030113109.0 cr nn 008mamaa 240927s2024 sz | s |||| 0|eng d 9783031743290 978-3-031-74329-0 10.1007/978-3-031-74329-0 doi RC261-271 MJCL bicssc MED062000 bisacsh MJCL thema Lung Cancer Diagnosis and Treatment: An Interdisciplinary Approach [electronic resource] / edited by Nima Rezaei. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 364 p. 37 illus., 34 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Interdisciplinary Cancer Research, 2731-457X ; 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. Cancer. 4311 Cancer Treatment. 63722 Cancer Animal models. 81017 Immunotherapy. 69215 Tumors Immunological aspects. 73413 Cancer Imaging. 69161 Cancer Biology. 67829 Cancer Therapy. 73414 Cancer Models. 81018 Immunotherapy. 69215 Tumour Immunology. 73415 Cancer Imaging. 69163 Rezaei, Nima. editor. (orcid)0000-0002-3836-1827 https://orcid.org/0000-0002-3836-1827 edt http://id.loc.gov/vocabulary/relators/edt 77538 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031743283 Printed edition: 9783031743306 Printed edition: 9783031743313 Interdisciplinary Cancer Research, 2731-457X ; 9 https://doi.org/10.1007/978-3-031-74329-0 ZDB-2-SBL ZDB-2-SXB 63763 63763