NMR-based Metabolomics

NMR-based Metabolomics

Author: Hector C Keun

Publisher: Royal Society of Chemistry

Published: 2018-01-17

Total Pages: 384

ISBN-13: 184973643X

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This book describes the state of the art in the application of NMR spectroscopy to metabolomics and will be a key title for researchers and practitioners.


Cutaneous Melanoma

Cutaneous Melanoma

Author: Charles M. Balch

Publisher: Springer

Published: 2020-01-29

Total Pages: 0

ISBN-13: 9783030050689

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Written by the leading melanoma experts from the United States, Australia, and Europe, this new edition incorporates the clinical outcomes of more than 70,000 patients treated at major melanoma centers throughout the world and is the definitive and most authoritative textbook on melanoma used worldwide. Providing the most up-to-date and comprehensive information needed for the clinical management and scientific study of melanoma, Cutaneous Melanoma, 6th edition covers everything from precursors of melanoma to advanced stages of metastatic disease.


Evidence Based Pathology and Laboratory Medicine

Evidence Based Pathology and Laboratory Medicine

Author: Alberto M. Marchevsky

Publisher: Springer Science & Business Media

Published: 2011-07-01

Total Pages: 364

ISBN-13: 1441910301

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Focusing on practical, patient related issues, this volume provides the basic concepts of Evidence Based Medicine (EBM) as they relate to Pathology and Laboratory Medicine and presents various practical applications. It includes EBM concepts for use in the identification of cost-effective panels of immunostains and other laboratory tests and for improvement of diagnostic accuracy based on the identification of selected diagnostic features for particular differential diagnosis. EBM concepts are also put forth for use in Meta-analysis to integrate the results of conflicting literature reports and use of novel analytical tools such as Bayesian belief networks, neural networks, multivariate statistics and decision tree analysis for the development of new diagnostic and prognostic models for the evaluation of patients. This volume will be of great value to pathologists who will benefit from the concepts being promoted by EBM, such as levels of evidence, use of Bayesian statistics to develop diagnostic and other rules and stronger reliance on "hard data" to support therapeutic and diagnostic modalities.


Multimodal Scene Understanding

Multimodal Scene Understanding

Author: Michael Ying Yang

Publisher: Academic Press

Published: 2019-07-16

Total Pages: 424

ISBN-13: 0128173599

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Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. - Contains state-of-the-art developments on multi-modal computing - Shines a focus on algorithms and applications - Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning


The Role of Genetics in Breast and Reproductive Cancers

The Role of Genetics in Breast and Reproductive Cancers

Author: Piri Welcsh

Publisher: Springer Science & Business Media

Published: 2009-10-03

Total Pages: 346

ISBN-13: 1441904778

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This volume will explore the latest findings in research into the genetics of breast and reproductive cancers, covering the epidemiological aspects of these cancers, their etiology, the effect of environment on genes and cancer etiology, and how research in this area can lead to development of preventative measures and treatments.


Tumor Microenvironment and Cellular Stress

Tumor Microenvironment and Cellular Stress

Author: Constantinos Koumenis

Publisher: Springer Science & Business Media

Published: 2013-11-23

Total Pages: 293

ISBN-13: 146145915X

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The collection of chapters in this proceeding volume reflects the latest research presented at the Aegean meeting on Tumor Microenvironment and Cellular Stress held in Crete in Fall of 2012. The book provides critical insight to how the tumor microenvironment affects tumor metabolism, cell stemness, cell viability, genomic instability and more. Additional topics include identifying common pathways that are potential candidates for therapeutic intervention, which will stimulate collaboration between groups that are more focused on elucidation of biochemical aspects of stress biology and groups that study the pathophysiological aspects of stress pathways or engaged in drug discovery.


Machine Learning in Dentistry

Machine Learning in Dentistry

Author: Ching-Chang Ko

Publisher: Springer Nature

Published: 2021-07-24

Total Pages: 186

ISBN-13: 3030718816

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This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to “learn”, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for all dental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.


Microbiome and Cancer

Microbiome and Cancer

Author: Erle S. Robertson

Publisher: Springer

Published: 2019-02-20

Total Pages: 406

ISBN-13: 3030041557

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This book ventures into a new and exciting area of discovery that directly ties our current knowledge of cancer to the discovery of microorganisms associated with different types of cancers. Recent studies demonstrate that microorganisms are directly linked to the establishment of cancers and that they can also contribute to the initiation, as well as persistence of, the cancers. Microbiome and Cancer covers the current knowledge of microbiome and its association with human cancers. It provides important reading for novices, senior undergraduates in cancer and microbiology, graduate students, junior investigators, residents, fellows and established investigators in the fields of cancer and microbiology. We cover areas related to known, broad concepts in microbiology and how they can relate to the ongoing discoveries of the micro-environment and the changes in the metabolic and physiologic states in that micro-environment, which are important for the ongoing nurturing and survival of the poly-microbial content that dictates activities in that micro-environment. We cover the interactions of microorganisms associated with gastric carcinomas, which are important for driving this particular cancer. Additional areas include oral cancers, skin cancers, ovarian cancers, breast cancers, nasopharyngeal cancers, lung cancers, mesotheliomas, Hodgkin’s and non-Hodgkin’s lymphomas, glioblastoma multiforme, hepatocellular carcinomas, as well as the inflammatory response related to the infectious agents in cancers. This book covers the metabolic changes that occur because of infection and their support for development of cancers, chronic infection and development of therapeutic strategies for detection and control of the infection. The field of microbiome research has exploded over the last five years, and we are now understanding more and more about the context in which microorganisms can contribute to the onset of cancers in humans. The field of microbiome research has demonstrated that the human body has specific biomes for tissues and that changes in these biomes at the specific organ sites can result in disease. These changes can result in dramatic differences in metabolic shifts that, together with genetic mutations, will produce the perfect niche for establishment of the particular infection programmes in that organ site. We are just beginning to understand what those changes are and how they influence the disease state. Overall, we hope to bring together the varying degrees of fluctuations in the microbiome at the major organ sites and how these changes affect the normal cellular processes because of dysregulation, leading to proliferation of the associated tissues.


Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine

Author: Subhi J. Al'Aref, M.D.

Publisher: Academic Press

Published: 2020-12-11

Total Pages: 454

ISBN-13: 0128202734

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Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach


Advances in Computational and Bio-Engineering

Advances in Computational and Bio-Engineering

Author: S. Jyothi

Publisher: Springer Nature

Published: 2020-07-19

Total Pages: 650

ISBN-13: 3030469395

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This book gathers state-of-the-art research in computational engineering and bioengineering to facilitate knowledge exchange between various scientific communities. Computational engineering (CE) is a relatively new discipline that addresses the development and application of computational models and simulations often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design in the context of natural phenomena. Bioengineering (BE) is an important aspect of computational biology, which aims to develop and use efficient algorithms, data structures, and visualization and communication tools to model biological systems. Today, engineering approaches are essential for biologists, enabling them to analyse complex physiological processes, as well as for the pharmaceutical industry to support drug discovery and development programmes.