Chapter 1 Epidemiology and Etiology of Glioblastoma

Chapter 2 The Role of Molecular Genetics of Glioblastoma in the Clinical Setting

Chapter 3 Neurosurgical Approach to the Patient with Glioblastoma

Chapter 4 Machine Learning Approaches Pertinent to Glioma Classification

Chapter 5 Histopathology of Adult and Pediatric Glioblastoma

Chapter 6 Principles of Radiation Therapy for Glioblastoma Patients

Chapter 8 Molecular Stratification of Adult and Pediatric High Grade Gliomas

Chapter 9 Genomic Heterogeneity of Aggressive Pediatric and Adult Diffuse Astrocytomas

Chapter 10 Immunohistochemical Surrogates for Molecular Pathology

Chapter 11 Machine Learning-Based Automated Methods for Brain Tumor Segmentation, Subtype Classification, Tracking and Patient Survival Prediction

Chapter 12 Rodent Brain Tumor Models for Neuro-Oncology Research

Chapter 13 Stem Cell Based Modelling of Glioblastoma

Chapter 14 The Neuroscience of Glioblastoma