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From an expert in the field comes the definitive guide to managing breast cancer in the information age—a comprehensive resource for diagnosis, treatment, and peace of mind. The breast cancer cure rate is at an all-time high, and so is the information, to say nothing of the misinformation, available to patients and their families. Online searches can lead to unreliable sources, leaving even the most resilient patient feeling uneasy and uncertain about her diagnosis, treatment options, doctors, side effects, and recovery. Adding to a patient’s anxiety is input from well-meaning friends and family, with stories, worries, and opinions to share, sometimes without knowing the details of her particular case, when in reality breast cancer treatment has gone well beyond a “one size fits all” approach. Elisa Port, MD, FACS, chief of breast surgery at The Mount Sinai Hospital and co-director of the Dubin Breast Center in Manhattan, offers an optimistic antidote to the ocean of Web data on screening, diagnosis, prognosis, and treatment. Inside you’ll discover • the various scenarios when mammograms indicate the need for a biopsy • the questions to ask about surgery, chemotherapy, radiation, and breast reconstruction • the important things to look for when deciding where to get care • the key to deciphering complicated pathology reports and avoiding confusion • the facts on genetic testing and the breast cancer genes: BRCA-1 and BRCA-2 • the best resources and advice for those supporting someone with breast cancer From innovations in breast cancer screening and evaluating results to post-treatment medications and living as a breast cancer survivor, Dr. Elisa Port describes every possible test and every type of doctor visit, providing a comprehensive, empathetic guide that every newly diagnosed woman (and her family) will want to have at her side. Praise for The New Generation Breast Cancer Book “One book you need . . . If you’re considering your options for treatment or know someone who is, this step-by-step guide, The New Generation Breast Cancer Book, is essential reading.”—InStyle “Elisa Port, M.D., is the doctor every patient deserves: brilliant and compassionate. Her book will be a sanity saver and, quite possibly, a life saver.”—Geralyn Lucas, author of Why I Wore Lipstick to My Mastectomy “As up-to-date as one can get, with lots to offer people facing a cancer diagnosis or hoping to support someone with the disease.”—Library Journal (starred review) “The New Generation Breast Cancer Book helps you sort through all the information you’ve gathered, clarify the terminology, consider the options, and make the right decisions for your unique case.”—Edie Falco “A lifeline for many women in need of today’s most up-to-date choices for treatment . . . Everyone should read this book for themselves, their mothers, grandmothers, daughters, and friends.”—Kara DioGuardi, Grammy-nominated songwriter, music executive, and Arthouse Entertainment co-founder “The book is teeming with easy-to-understand medical explanations, tips, takeaways, and pro-and-con discussions of various courses of action. Port also includes two extremely useful appendices that respectively take on common myths and answer questions frequently asked by friends and family. This is a vital read that will empower men and women alike.”—Publishers Weekly
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This book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and medium scale spiking neural networks with learning capabilities. In addition, the book describes in a comprehensive way the organization and how to design a spike-based neuromorphic system to perform network of spiking neurons communication, computing, and adaptive learning for emerging AI applications. The book begins with an overview of neuromorphic computing systems and explores the fundamental concepts of artificial neural networks. Next, we discuss artificial neurons and how they have evolved in their representation of biological neuronal dynamics. Afterward, we discuss implementing these neural networks in neuron models, storage technologies, inter-neuron communication networks, learning, and various design approaches. Then, comes the fundamental design principle to build an efficient neuromorphic system in hardware. The challenges that need to be solved toward building a spiking neural network architecture with many synapses are discussed. Learning in neuromorphic computing systems and the major emerging memory technologies that promise neuromorphic computing are then given. A particular chapter of this book is dedicated to the circuits and architectures used for communication in neuromorphic systems. In particular, the Network-on-Chip fabric is introduced for receiving and transmitting spikes following the Address Event Representation (AER) protocol and the memory accessing method. In addition, the interconnect design principle is covered to help understand the overall concept of on-chip and off-chip communication. Advanced on-chip interconnect technologies, including si-photonic three-dimensional interconnects and fault-tolerant routing algorithms, are also given. The book also covers the main threats of reliability and discusses several recovery methods for multicore neuromorphic systems. This is important for reliable processing in several embedded neuromorphic applications. A reconfigurable design approach that supports multiple target applications via dynamic reconfigurability, network topology independence, and network expandability is also described in the subsequent chapters. The book ends with a case study about a real hardware-software design of a reliable three-dimensional digital neuromorphic processor geared explicitly toward the 3D-ICs biological brain’s three-dimensional structure. The platform enables high integration density and slight spike delay of spiking networks and features a scalable design. We present methods for fault detection and recovery in a neuromorphic system as well. Neuromorphic Computing Principles and Organization is an excellent resource for researchers, scientists, graduate students, and hardware-software engineers dealing with the ever-increasing demands on fault-tolerance, scalability, and low power consumption. It is also an excellent resource for teaching advanced undergraduate and graduate students about the fundamentals concepts, organization, and actual hardware-software design of reliable neuromorphic systems with learning and fault-tolerance capabilities.