2024年生物信息学和医学信息学年度卷

English | 2024 | ISBN: 085014034X 9780850140347 0850140331 9780850140330 0850140358 9780850140354 | 124 pages | True PDF | 13 MB

This volume highlights the integration of computational techniques and emphasizes the importance of developing new methodologies to tackle emerging health issues and improve patient outcomes. From continuous monitoring of bio-signals using advanced health technology devices to the application of multiscale mathematical modeling for analyzing complex biological systems, the book covers a range of innovative approaches. It explores the potential of 5G technology to revolutionize healthcare delivery by enabling faster, more reliable communication and improving access to medical resources, particularly in rural areas. The topics covered are timely and crucial, addressing global health challenges and directing future developments.

The interdisciplinarity of contemporary medical sciences, that combine insights from biology, medicine, computer science, and engineering, enables accurate diagnoses, effective treatments, and personalized patient care. Bioinformatics and medical informatics use the advantage of computational power to decode vast amounts of biological data, translating it into actionable medical knowledge.

Contents 1. Review of Cervix Cancer Classification Using Radiomics on Diffusion-Weighted Imaging 2. Computational Intelligence Approaches for Enhancing Biomedical Image Processing Applications Based on Breast Cancer 3. Pattern Recognition for Mass-Spectrometry-Based Proteomics 4. Model of an Artificial Blastula for Assessing Development Toxicity 5. Health Risk Measurement and Assessment Technology – Current State and Future Prospect 6. Multiscale Mathematical Modeling of Biological Systems for Bioinformatics and Medical Informatics 7. 5G Support the Chinese Healthcare 4.0

这本著作强调了计算技术的整合，并突出了开发新方法以应对新兴健康问题和改善患者结果的重要性。从高级健康科技设备对生物信号的连续监测，到使用多尺度数学建模分析复杂生物学系统的方法，本书涵盖了多种创新策略。它探讨了5G技术能如何革新医疗交付，通过实现更快更可靠的通信，并提升医疗资源的可访问性，特别是在农村地区。涵盖的主题及时且至关重要，应对全球健康挑战并指导未来的进展。 当代医学科学中的跨学科性结合了生物学、医学、计算机科学和工程学领域的见解，能够进行准确诊断、有效治疗以及个性化的患者护理。生物信息学与医学信息学利用强大的计算能力来解读大量的生物数据，并将其转化为可操作的医疗知识。 目录 1. 使用弥散加权成像对宫颈癌分类的综述 2. 基于乳腺癌的增强 biomedical 图像处理应用的计算智能方法 3. 质谱法蛋白质组学中的模式识别 4. 人工囊胚模型以评估发育毒性 5. 健康风险测量与评估技术——当前状态和未来前景 6. 生物信息学和医学信息学的生物系统多尺度数学建模 7. 5G支持中国的医疗健康4.0

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