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024 7 $a10.1007/978-3-031-74329-0
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101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aLung Cancer Diagnosis and Treatment: An Interdisciplinary Approach /$fedited by Nima Rezaei
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (367 pages)
225 1 $aInterdisciplinary Cancer Research,$x2731-457X ;$v9
311   $a3-031-74328-8 
327   $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.
330   $aThe ?Lung Cancer Diagnosis and Treatment: An Interdisciplinary Approach? is the ninth volume of the ?Interdisciplinary Cancer Research? series, publishes comprehensive reviews on the diagnosis and treatment of lung cancer. Application of artificial intelligence in lung cancer detection is explained well. Recent advances in the treatment of lung cancer is presented in this volume, while opportunities and challenges in immunotherapy are discussed. This interdisciplinary series is of special value to researchers working on oncology. This is the main concept of Cancer Immunology Project (CIP), which is a part of Universal Scientific Education and Research Network (USERN). This interdisciplinary book will be of special value to researchers, oncologists, and oncosurgeons who wish to extend their knowledge on lung cancer.
410  0$aInterdisciplinary Cancer Research,$x2731-457X ;$v9
606   $aCancer
606   $aCancer$xTreatment
606   $aCancer$xAnimal models
606   $aImmunotherapy
606   $aTumors$xImmunological aspects
606   $aCancer$xImaging
606   $aCancer Biology
606   $aCancer Therapy
606   $aCancer Models
606   $aImmunotherapy
606   $aTumour Immunology
606   $aCancer Imaging
615  0$aCancer.
615  0$aCancer$xTreatment.
615  0$aCancer$xAnimal models.
615  0$aImmunotherapy.
615  0$aTumors$xImmunological aspects.
615  0$aCancer$xImaging.
615 14$aCancer Biology.
615 24$aCancer Therapy.
615 24$aCancer Models.
615 24$aImmunotherapy.
615 24$aTumour Immunology.
615 24$aCancer Imaging.
676   $a571.978
676   $a616.994
700   $aRezaei$b Nima$0913363
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910890175403321
996   $aLung Cancer Diagnosis and Treatment: An Interdisciplinary Approach$94249064
997   $aUNINA