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020 _a9783031743290
_9978-3-031-74329-0
024 7 _a10.1007/978-3-031-74329-0
_2doi
050 4 _aRC261-271
072 7 _aMJCL
_2bicssc
072 7 _aMED062000
_2bisacsh
072 7 _aMJCL
_2thema
245 1 0 _aLung Cancer Diagnosis and Treatment: An Interdisciplinary Approach
_h[electronic resource] /
_cedited by Nima Rezaei.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXI, 364 p. 37 illus., 34 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInterdisciplinary Cancer Research,
_x2731-457X ;
_v9
505 0 _aApplication 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.
520 _aThe “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.
650 0 _aCancer.
_94311
650 0 _aCancer
_xTreatment.
_963722
650 0 _aCancer
_xAnimal models.
_981017
650 0 _aImmunotherapy.
_969215
650 0 _aTumors
_xImmunological aspects.
_973413
650 0 _aCancer
_xImaging.
_969161
650 1 4 _aCancer Biology.
_967829
650 2 4 _aCancer Therapy.
_973414
650 2 4 _aCancer Models.
_981018
650 2 4 _aImmunotherapy.
_969215
650 2 4 _aTumour Immunology.
_973415
650 2 4 _aCancer Imaging.
_969163
700 1 _aRezaei, Nima.
_eeditor.
_0(orcid)0000-0002-3836-1827
_1https://orcid.org/0000-0002-3836-1827
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_977538
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031743283
776 0 8 _iPrinted edition:
_z9783031743306
776 0 8 _iPrinted edition:
_z9783031743313
830 0 _aInterdisciplinary Cancer Research,
_x2731-457X ;
_v9
856 4 0 _uhttps://doi.org/10.1007/978-3-031-74329-0
912 _aZDB-2-SBL
912 _aZDB-2-SXB
999 _c63763
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