使用exascale计算进行癌症诊断和检测

English | 2024 | ISBN: 1394197675 | 330 pages | True PDF | 44.39 MB

Human Cancer Diagnosis and Detection Using Exascale ComputingThe book provides an in-depth exploration of how high-performance computing, particularly exascale computing, can be used to revolutionize cancer diagnosis and detection; it also serves as a bridge between the worlds of computational science and clinical oncology. Exascale computing has the potential to increase our ability in terms of computation to develop efficient methods for a better healthcare system. This technology promises to revolutionize cancer diagnosis and detection, ushering in an era of unprecedented precision, speed, and efficiency. The fusion of exascale computing with the field of oncology has the potential to redefine the boundaries of what is possible in the fight against cancer. The book is a comprehensive exploration of this transformative unification of science, medicine, and technology. It delves deeply into the realm of exascale computing and its profound implications for cancer research and patient care. The 18 chapters are authored by experts from diverse fields who have dedicated their careers to pushing the boundaries of what is achievable in the realm of cancer diagnosis and detection. The chapters cover a wide range of topics, from the fundamentals of exascale computing and its application to cancer genomics to the development of advanced imaging techniques and machine learning algorithms. Explored is the integration of data analytics, artificial intelligence, and high-performance computing to move cancer research to the next phase and support the creation of novel medical tools and technology for the detection and diagnosis of cancer. Audience This book has a wide audience from both computer sciences (information technology, computer vision, artificial intelligence, software engineering, applied mathematics) and the medical field (biomedical engineering, bioinformatics, oncology). Researchers, practitioners and students will find this groundbreaking book novel and very useful.

利用exascale计算进行癌症诊断与检测的书籍深入探讨了高性能计算，尤其是exascale计算，如何用于革新癌症诊断与检测；它还充当计算科学和临床肿瘤学之间的桥梁。 exascale计算有望通过增加我们的计算能力来改进更好的医疗系统的能力。这项技术承诺会彻底改变癌症的诊断与检测方式， usher in一个前所未有的精确性、速度以及效率的时代。将exascale计算融合到肿瘤学领域中可能重新定义对抗癌症的可能性边界。 这本书是这种科学、医学和科技转变结合的全面探讨。它深入研究了exascale计算领域的深远影响及其对癌症研究与患者护理的影响。书中由来自多个领域的专家撰写，他们致力于在癌症诊断与检测这一领域达到新的极限。章节内容广泛涵盖了从exascale计算的基础应用到癌症基因组学，再到高级成像技术和机器学习算法的发展。探讨的是数据分析、人工智能和高性能计算的整合，这将推动癌症研究迈向新阶段，并支持创造用于癌症检测和诊断的新颖医疗工具和技术。 受众 这本书的目标受众既包括计算机科学（信息技术、计算机视觉、人工智能、软件工程、应用数学）领域，也包括医学领域（生物医学工程、生物信息学、肿瘤学）。研究人员、从业者和学生将发现这本书 groundbreaking 并且非常实用。

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