Machine learning-based adaptive radiotherapy treatments: From bench top to bedside
Author: Jiahan Zhang
Publisher: Frontiers Media SA
Published: 2023-05-12
Total Pages: 124
ISBN-13: 2832523315
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Machine Learning in Radiation Oncology
Author: Issam El Naqa
Publisher: Springer
Published: 2015-06-19
Total Pages: 336
ISBN-13: 3319183052
DOWNLOAD EBOOK →This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
Artificial Intelligence in Medicine
Author: David Riaño
Publisher: Springer
Published: 2019-06-19
Total Pages: 431
ISBN-13: 303021642X
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
Cell Surface Proteases
Author:
Publisher: Elsevier
Published: 2003-05-03
Total Pages: 475
ISBN-13: 0080490883
DOWNLOAD EBOOK →Cell Surface Proteases provides a comprehensive overview of these important enzymes that catalyze the hydrolysis of a protein as it degrades to a simpler substance. In the 1990s, an explosion of new discoveries shed light on the role of cell surface proteases and extended it beyond degradation of extracellular matrix components to include its influence on growth factors, cell signaling, and other cellular events. This volume unites the scientific literature from across disciplines and teases out unified themes of interactions between cell surface proteases and interconnecting cell surface-related systems -- including integrins and other adhesion molecules. Scientists and students involved in developmental biology, cell biology and disease processes will find this an indispensable resource. * Provides an overview of the entire field of cell surface proteases in a single volume* Presents major issues and astonishing discoveries at the forefront of modern developmental biology and developmental medicine * A thematic volume in the longest-running forum for contemporary issues in developmental biology with over 30 years of coverage
Multiscale Cancer Modeling
Author: Thomas S. Deisboeck
Publisher: CRC Press
Published: 2010-12-08
Total Pages: 492
ISBN-13: 1439814422
DOWNLOAD EBOOK →Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of experimentally testable hypotheses, the integration of dat
Machine Learning with Health Care Perspective
Author: Vishal Jain
Publisher: Springer Nature
Published: 2020-03-09
Total Pages: 418
ISBN-13: 3030408507
DOWNLOAD EBOOK →This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.
Immunotherapy of Hepatocellular Carcinoma
Author: Tim F. Greten
Publisher: Springer
Published: 2018-08-22
Total Pages: 0
ISBN-13: 9783319879116
DOWNLOAD EBOOK →In this book we provide insights into liver – cancer and immunology. Experts in the field provide an overview over fundamental immunological questions in liver cancer and tumorimmunology, which form the base for immune based approaches in HCC, which gain increasing interest in the community due to first promising results obtained in early clinical trials. Hepatocellular carcinoma (HCC) is the third most common cause of cancer related death in the United States. Treatment options are limited. Viral hepatitis is one of the major risk factors for HCC, which represents a typical “inflammation-induced” cancer. Immune-based treatment approaches have revolutionized oncology in recent years. Various treatment strategies have received FDA approval including dendritic cell vaccination, for prostate cancer as well as immune checkpoint inhibition targeting the CTLA4 or the PD1/PDL1 axis in melanoma, lung, and kidney cancer. Additionally, cell based therapies (adoptive T cell therapy, CAR T cells and TCR transduced T cells) have demonstrated significant efficacy in patients with B cell malignancies and melanoma. Immune checkpoint inhibitors in particular have generated enormous excitement across the entire field of oncology, providing a significant benefit to a minority of patients.
Clinical Case Studies for the Family Nurse Practitioner
Author: Leslie Neal-Boylan
Publisher: John Wiley & Sons
Published: 2011-11-28
Total Pages: 432
ISBN-13: 1118277856
DOWNLOAD EBOOK →Clinical Case Studies for the Family Nurse Practitioner is a key resource for advanced practice nurses and graduate students seeking to test their skills in assessing, diagnosing, and managing cases in family and primary care. Composed of more than 70 cases ranging from common to unique, the book compiles years of experience from experts in the field. It is organized chronologically, presenting cases from neonatal to geriatric care in a standard approach built on the SOAP format. This includes differential diagnosis and a series of critical thinking questions ideal for self-assessment or classroom use.
Interpretable Artificial Intelligence: A Perspective of Granular Computing
Author: Witold Pedrycz
Publisher: Springer Nature
Published: 2021-03-26
Total Pages: 430
ISBN-13: 3030649490
DOWNLOAD EBOOK →This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.
WHO List of Priority Medical Devices for Cancer Management
Author: World Health Organization
Publisher:
Published: 2017-05-09
Total Pages: 246
ISBN-13: 9789241565462
DOWNLOAD EBOOK →This is the model list and clearing house of appropriate, basic, and priority medical devices based on the list of clinical interventions selected from clinical guidelines on prevention, screening, diagnosis, treatment, palliative care, monitoring, and end of life care. This publication addresses medical devices that can be used for the management of cancer and specifically describes medical devices for six types of cancer: breast, cervical, colorectal, leukemia, lung, and prostate. This book is intended for ministries of health, public health planners, health technology managers, disease management, researchers, policy makers, funding, and procurement agencies and support and advocacy groups for cancer patients.
