Brain Tumors An Interdisciplinary Approach
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Brain Tumors: An Interdisciplinary Approach
The “Brain Tumors: An Interdisciplinary Approach” is the thirteenth volume of the “Interdisciplinary Cancer Research” series, publishes comprehensive volume on diagnosis and treatment of brain tumors. It starts with a general title on an interdisciplinary approach in brain tumors. Inherited genetics syndromes associated with central nervous system tumors as well as the impact of epigenetic methylation on gliomagenesis were explained. Then new approaches on precision medicine in brain tumors are discussed. After discussion on neurosurgical management of brain tumors, neuroimaging and radiosurgery of brain tumors are explained. Novel approaches to bypassing the blood-brain barrier for drug delivery to brain tumors are also discussed. After presentation of pediatric low-grade gliomas, treatment of glioblastoma is the subject of other chapters. The potential role of artificial intelligence in the treatment of glioblastoma is discussed in the last chapter. 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 for neurosurgeons and oncologists who wish to extend their knowledge on brain tumors.
Artificial Intelligence and Bioinformatics in Cancer: An Interdisciplinary Approach
The “Artificial Intelligence and Bioinformatics in Cancer: An Interdisciplinary Approach” is the eighteenth volume of the “Interdisciplinary Cancer Research” series, publishes comprehensive volume on the advances of machine learning and bioinformatics in cancer. The volume starts with a chapter on application of artificial intelligence for early diagnosis of cancer. Then digital health technologies in cancer care and research is discussed. Unveiling cancer complexity: machine learning insights into multi-omics data and the role of integrated bioinformatics in cancer research are also discussed. In silico and biophysical approaches in cancer research and in silico methods and targeted receptors used in cancer studies are explained in the following chapters. The modeling uncertain growth and diffusion in cancer tumors with heterogeneous cell mutations, imaging tumor metabolism and its heterogeneity with special focus on radiomics and artificial intelligence are also discussed. Mathematical modeling of cancer tumor dynamics as well as recent advances in artificial intelligence for cancer treatment are presented, while signature-based drug repositioning for drug discovery employing machine learning tools is also discussed. After a chapter on mathematical analysis of cancer-tumor models, the subsequent chapters discuss on the role of artificial intelligence in colorectal cancer, breast cancer, lung cancer, brain tumor, and cervical cancer. 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 for oncologists who wish to have an update on application of artificial intelligence in diagnosis and treatment of cancers.
Tumors of the Central Nervous System, Volume 12
Author: M.A. Hayat
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-11-12
As in the case of its eleven predecessors in the series Tumors of the Central Nervous System, this volume is distinguished for its thorough approach, its roster of 92 distinguished contributors representing 11 different countries and its detailed examination of leading-edge technology and methods. Volume 12: Molecular Mechanisms, Children’s Cancer, Treatments, and Radiosurgery offers a comprehensive review of the diagnosis, therapy and prognosis of brain and spinal cord tumors. Coverage extends to a large number of tumor types, including neuroblastoma, medulloblastoma, meningioma and chordoma. Molecular profiling of brain tumors to select appropriate therapy in clinical trials of brain tumors is discussed in detail, as is the classification/diagnosis of brain tumors based on function analysis. CDK6 as the molecular regulator of neuronal differentiation in the adult brain, and the role of aquaporins in human brain tumor growth are explained. Discussion also includes tumors affecting children, including neuroblastoma and medulloblastoma. A full chapter is devoted to the role of molecular genetic alterations in medulloblastoma, and another examines survival differences between children and adults with medulloblastoma. The use of various types of imaging methods to diagnose brain tumors is explained. In-depth discussion of treatment options includes stereotactic radiosurgery, endoscopic neurosurgery, electrochemotherapy, transsphenoidal surgery, focal ablation, whole brain radiation therapy and recraniotomy.