Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine examines the benefits of big data analysis and future advancements in individualized medicine in cardio-oncology. It helps readers understand and maximize the benefits of existing AI algorithms by integrating AI and digital health technologies into the clinical workflow exploring AI orchestration, testing of AI applications, processing steps, active involvement and collaboration of qualified employees, and many other factors. In 42 chapters Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine introduces cardio-oncology and describes the prevention, screening and surveillance in cardio-oncology, followed by several chapters on the emerging role of the applications of mHealth, telemedicine, and Artificial intelligence in cardio-oncology. 5 chapters are dedicated to innovative development in cardiology oncology. The book also highlights many societal and evidence based recommended pathways for equitable digital health deployment and utilization in cardio-oncology care. This book also anticipates that exposing the potential for AI algorithms and innovative health tools widens the already existing healthcare disparities including inequalities related to race, ethnicity, gender, socioeconomic level, lack of health insurance, linguistic and cultural barriers, systemic discrimination, and limited healthcare access. This reference is a valuable practical guidance for healthcare professionals to integrate digital health platforms into their clinical practice models and multi-stakeholder group from academia, technology, and industry with a shared interest in applying Innovation (Digital Health, mHealth, Telemedicine, Telehealth, Informatics, Precision Health, Computational Medicine, Social Media, Artificial Intelligence including Machine Learning, Deep Learning, Natural Language Processing, and Neural Networks, & more) to Cardiology and Oncology clinical practice, research, and education. In 42 chapters Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine introduces cardio-oncology and describes the prevention, screening and surveillance in cardio-oncology, followed by several chapters on the emerging role of the applications of mHealth, telemedicine, and Artificial intelligence in cardio-oncology. 5 chapters are dedicated to innovative development in cardiology oncology. The book also highlights many societal and evidence based recommended pathways for equitable digital health deployment and utilization in cardio-oncology care. This book also anticipates that exposing the potential for AI algorithms and innovative health tools widens the already existing healthcare disparities including inequalities related to race, ethnicity, gender, socioeconomic level, lack of health insurance, linguistic and cultural barriers, systemic discrimination, and limited healthcare access. This reference is a valuable practical guidance for healthcare professionals to integrate digital health platforms into their clinical practice models and multi-stakeholder group from academia, technology, and industry with a shared interest in applying Innovation (Digital Health, mHealth, Telemedicine, Telehealth, Informatics, Precision Health, Computational Medicine, Social Media, Artificial Intelligence including Machine Learning, Deep Learning, Natural Language Processing, and Neural Networks, & more) to Cardiology and Oncology clinical practice, research, and education.

The book begins with the basic science behind the medical applications of the knowledge: cardiovascular biology, pathways, and their relationship to cancer treatment and principles of chemotherapy and immunotherapy. The second section consists of an overview and classification of anti-cancer drugs and a look at their cardiotoxicity. The third section looks at cardiac imaging in the cancer patient, including cardiac ultrasound, Doppler imaging, nuclear imaging, magnetic resonance imaging, and computed tomography in the cancer patient. In section four, management of cardiac disease in the cancer patient is discussed, including cardiac rhythm disturbances and heart failure. Cardiac emergencies and interventions are described as is preoperative assessment of the cancer patient for non- cardiovascular surgery. The final section includes a range of topics such as the pericardium, cardiovascular effects of endocrine treatments, primary cardiac tumors and malignancies of the myocardium and pericardium. Cardiac monitoring during clinical trials and pulmonary concerns are also addressed, as are psychosocial, social, economic, and legal issues of the cancer patient with heart disease.

Over the last years, thanks to growing advances in the field of cancer therapies, a considerable decrease in cancer mortality has been observed. Unfortunately, such therapies have shown a wide spectrum of cardiotoxicities. This book provides the readers with the latest advances and insights in the ever-expanding field of Cardio-Oncology. Specific topics discussed in the book include the potential role of inflammation in Cardio-Oncology and the description of the different manifestations of cardiotoxicities (including vascular toxicity, systemic hypertension, arrhythmias), analyzing the complex relationships between cancer and heart failure, two conditions whose prevalence increases with ageing. Furthermore, the role of biomarkers and imaging in cardio-oncology is discussed.

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Heart failure is a serious condition caused by the heart failing to pump enough blood around the body at the right pressure. It usually occurs because the heart muscle has become too weak or stiff to work properly, most commonly caused by heart attack, high blood pressure or cardiomyopathy (heart disease). This textbook is a comprehensive guide to the latest advances in the diagnosis and management of heart failure. Comprising nearly 1000 pages, the book features 15 sections, beginning with discussion on clinical issues of heart failure, followed by imaging techniques. Each of the following sections covers a different disorder or disease that subsequently may lead to heart failure. Topics include coronary artery disease, stroke, arrhythmia, hypertension, nutritional aspects, cardio-oncology, and much more. The book concludes with rehabilitation, legal aspects, and future directions. Authored by internationally recognised experts in the field, the text is further enhanced by clinical photographs, diagrams and tables. Key points Comprehensive guide to latest advances in diagnosis and management of heart failure Extensive text comprising nearly 1000 pages covering numerous associated disorders and diseases Internationally recognised editor and author team Highly illustrated with clinical photographs, diagrams and tables

Cardiovascular Toxicity and Therapeutic Modalities Targeting Cardio-Oncology: From Basic Research to Advanced Study analyzes the emerging the field of cardio-oncology, reviewing recent advancements in the field, discussing how to monitor and treat cancer survivors for cardiotoxicity, and identifying potential cardiac side effects in novel cancer therapies. By adopting a translational approach, the book first comprehensively covers the basic science, mechanisms and concepts, which is followed by advanced state-of-art of cardio-oncology. Other sections cover tyrosine kinase inhibitors, Anthracyclines, and biomarkers in cardiotoxicity induced by chemotherapeutic drugs, noninvasive cardiovascular imaging techniques, radiotherapy induced cardiovascular, and more. Anti-cancer treatment is associated with serious cardiovascular adverse events, including arterial and pulmonary hypertension, supraventricular and ventricular arrhythmias, systolic and diastolic cardiac dysfunction and coronary artery disease. Progress in cancer therapy over the past decades improved long-term survival but increased cancer therapy-related cardiotoxicity. Both traditional chemotherapeutic agents and newer therapies have demonstrated profound cardiovascular toxicities. It is important to understand the mechanisms of these toxicities to establish strategies for the prevention and management of complications—arrhythmias, heart failure, and even death. - Adopts a translational approach and comprehensively covers the basic science, mechanisms and concepts of cardio-oncology - Outlines the current knowledge of biomarkers in cancer therapy-related cardiotoxicity - Provides an understanding of the mechanisms of cardiovascular toxicity of various therapies that may lead to the identification of novel targets to reduce vascular complications

In this issue of Heart Failure Clinics, guest editors Drs. Ragavendra R Baliga and George A. Mensah bring their considerable expertise to the topic of Translational Research in Cardio-Oncology. Top experts in the field cover key topics such as radiation-induced cardiac dysfunction; training and career development; cardiovascular imaging; CAR-T cell therapy and cardiovascular disease; and more. Contains 12 relevant, practice-oriented topics including cardio-protection of high-risk individuals; myocardial metabolism; amyloidosis; arrhythmic complications associated with cancer therapies; and more. Provides in-depth clinical reviews on translational research in cardio-oncology, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

This book provides the readers with the latest advances and insights in the ever-expanding field of Cardio-Oncology.

In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice. The nexus of concerns related to oncology, cardiology, and virology (SARS-CoV-2) presents a fortuitous context within which to examine the theory and practice of biomedical data curation. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care argues that a well-rounded approach to data modeling should optimally embrace multiple perspectives inasmuch as data-modeling is neither a purely formal nor a purely conceptual discipline, but rather a hybrid of both. On the one hand, data models are designed for use by computer software components, and are, consequently, constrained by the mechanistic demands of software environments; data modeling strategies must accept the formal rigors imposed by unambiguous data-sharing and query-evaluation logic. In particular, data models are not well-suited for software-level deployment if such models do not translate seamlessly to clear strategies for querying data and ensuring data integrity as information is moved across multiple points. On the other hand, data modeling is, likewise, constrained by human conceptual tendencies, because the information which is managed by databases and data networks is ultimately intended to be visualized/utilized by humans as the end-user. Thus, at the intersection of both formal and humanistic methodology, data modeling takes on elements of both logico-mathematical frameworks (e.g., type systems and graph theory) and conceptual/philosophical paradigms (e.g., linguistics and cognitive science). The authors embrace this two-sided aspect of data models by seeking non-reductionistic points of convergence between formal and humanistic/conceptual viewpoints, and by leveraging biomedical contexts (viz., COVID, Cancer, and Cardiac Care) so as to provide motivating examples and case-studies in this volume. Provides an analysis of how conceptual spaces and related cognitive linguistic approaches can inspire programming and query-processing models Outlines the vital role that data modeling/curation has played in significant medical breakthroughs Presents readers with an overview of how information-management approaches intersect with precision medicine, providing case studies of data-modeling in concrete scientific practice Explores applications of image analysis and computer vision in the context of precision medicine Examines the role of technology in scientific publishing, replication studies, and dataset curation