Description
Book SynopsisApplication 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.
