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Deep Learners and Deep Learner Descriptors for Medical Applications
This book introduces readers to the current trends in using deep learners and deep learner descriptors for medical applications. It reviews the recent literature and presents a variety of medical image and sound applications to illustrate the five major ways deep learners can be utilized: 1) by training a deep learner from scratch (chapters provide tips for handling imbalances and other problems with the medical data); 2) by implementing transfer learning from a pre-trained deep learner and extracting deep features for different CNN layers that can be fed into simpler classifiers, such as the support vector machine; 3) by fine-tuning one or more pre-trained deep learners on an unrelated data...
Anticancer Research
None
Anti-idiotype antibodies in cancer treatment
Actively induced immunotherapy is one of the most promising fields in cancer research and numerous approaches are being studied to design effective cancer vaccines. Among the treatment strategies to develop an effective immune response against tumor associated antigens is the use of anti idiotype (Ab2) mAb as antigen surrogates. Several studies in animal models have demonstrated the efficacy of these vaccines for triggering the immune system to induce specific and protective immunity against tumors of different origin. In fact, anti-idiotypic mAbs have been used successfully in cancer therapeutics to overcome the poor immunogenicity of some tumor-associated antigens, in particular those of non-protein origin. In some clinical trials, including patients with different tumors, anti-Id specific humoral and/or cellular responses following immunization were associated with improved clinical outcome. This number of Frontiers will be dedicated to anti- idiotypic antibodies and their use in cancer treatment. Different article types will be considered: original contributions, case reports, methods, hypothesis and theory, reviews, historical, etc.
Oncoimmunology
In this book, leading experts in cancer immunotherapy join forces to provide a comprehensive guide that sets out the main principles of oncoimmunology and examines the latest advances and their implications for clinical practice, focusing in particular on drugs with FDA/EMA approvals and breakthrough status. The aim is to deliver a landmark educational tool that will serve as the definitive reference for MD and PhD students while also meeting the needs of established researchers and healthcare professionals. Immunotherapy-based approaches are now inducing long-lasting clinical responses across multiple histological types of neoplasia, in previously difficult-to-treat metastatic cancers. The future challenges for oncologists are to understand and exploit the cellular and molecular components of complex immune networks, to optimize combinatorial regimens, to avoid immune-related side effects, and to plan immunomonitoring studies for biomarker discovery. The editors hope that this book will guide future and established health professionals toward the effective application of cancer immunology and immunotherapy and contribute significantly to further progress in the field.
AACR 2022 Proceedings: Part B April 11-13
The AACR Annual Meeting is the focal point of the cancer research community, where scientists, clinicians, other health care professionals, survivors, patients, and advocates gather to share the latest advances in cancer science and medicine. From population science and prevention; to cancer biology, translational, and clinical studies; to survivorship and advocacy; the AACR Annual Meeting highlights the work of the best minds in cancer research from institutions all over the world.
Radiation and the Immune System: Current Knowledge and Future Perspectives
For long, high dose ionizing radiation was considered as a net immune suppressing agent, as shown, among others, by the exquisite radiosensitivity of the lymphoid system to radiation-induced cell killing. However, recent advances in radiobiology and immunology have made this picture more complex. For example, the recognition that radiation-induced bystander effects, share common mediators with various immunological signalling processes, suggests that they are at least partly immune mediated. Another milestone was the finding, in the field of onco-immunology, that local tumor irradiation can modulate the immunogenicity of tumor cells and the anti-tumor immune responsiveness both locally, in t...
Computational Topology for Biomedical Image and Data Analysis
This book provides an accessible yet rigorous introduction to topology and homology focused on the simplicial space. It presents a compact pipeline from the foundations of topology to biomedical applications. It will be of interest to medical physicists, computer scientists, and engineers, as well as undergraduate and graduate students interested in this topic. Features: Presents a practical guide to algebraic topology as well as persistence homology Contains application examples in the field of biomedicine, including the analysis of histological images and point cloud data
3D Image Reconstruction for CT and PET
This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of guiding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will be invaluable for graduate students and early-career researchers and scientists in medical physics and...
