Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Type II diabetes. Expert contributions come from researchers across biomedical, data mining, and deep learning. This is an essential resource for both the AI and Biomedical research community, crossing various sectors for broad coverage of the concepts, themes, and instrumentalities of this i...

This book provides a comprehensive overview of cutting-edge technologies in the diagnosis of multiple cardiovascular disease. Readers will understand technical advancements and research gaps, which will help them to optimize the design of algorithms and devices.Cutting-Edge Diagnostic Technologies in Cardiovascular Diseases: Towards Data-Driven Smart Healthcare provides details on the adoption and implementation of advanced diagnostic techniques in different clinical setti...

This book provides a detailed update on all aspects of fine-needle aspiration cytology of breast lesions. It will serve as an up-to-date reference and atlas on new entities in breast pathology, including classic benign and malignant lesions, in accordance with current classification schemes and staging protocols. Emphasis is placed on description of characteristic diagnostic features as well as common cytological pitfalls. Correlation of cytology with histology is achieved through cyto-his...

This book provides a detailed update on all aspects of fine-needle aspiration cytology of breast lesions. It will serve readers as an up-to-date reference and atlas on both new entities in breast pathology, including borderline lesions such as flat epithelial atypia, and the classic benign and malignant lesions. Throughout, emphasis is placed on the characteristic diagnostic features as well as the common pitfalls faced by cytologists. As cytologic features can be highly variable, correspo...

Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. Network Medicine introduces this rapidly evolving field of medical research, which promises to revolutionize the diagnosis and treatment of human diseases. With contributions from leading experts that highlight the necessity of a team-based approach in network medicine, this definitive volume provides readers with a state-of-the-art synthesi...

The poster abstracts accepted for the 69th AACC Annual Scientific Meeting & Clinical Lab Expo.AACC is a global scientific and medical professional organization dedicated to clinical laboratory science and its application to healthcare. Our leadership in education, advocacy and collaboration helps lab professionals adapt to change and do what they do best: provide vital insight and guidance so patients get the care they need.

The one-stop resource on deep brain stimulation for functional neurosurgeons!Deep brain stimulation (DBS) is used to modulate dysfunctional circuits in the brain with stimulation pulses applied to specific target areas of the brain. Globally, DBS procedures have been most commonly performed for Parkinson's disease and essential tremor, but there are now new and growing research efforts studying DBS for psychiatric disorders and epilepsy.Deep Brain ...

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induc...

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision d...

Metabolomics Perspectives: From Theory to Practical Application is an expertly written volume, which provides a thorough description of the current state-of-the-art in the metabolomics field. The philosophy behind the book is to guide the reader in a step-by-step exploration of metabolomics experiments, ranging from sample preparation to data extraction, analysis and interpretation, and to discuss the main current applications and future perspectives of this emerging science. Armed with cr...

Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book’s expert authors present computational approaches for extracting imaging features that hel...

Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, tr...