自 1999 年出版的《生物医学工程年度回顾》涵盖了生物医学工程广泛领域的重大发展，包括生物力学、生物材料、计算基因组学和蛋白质组学、组织工程、生物监测、医疗保健工程、药物输送、生物电工程、生化工程和生物医学成像主题。

The Annual Review of Biomedical Engineering, published since 1999, covers significant developments across a wide range of topics in biomedical engineering, including biomechanics, biomaterials, computational genomics and proteomics, tissue engineering, biosensing, healthcare engineering, drug delivery, bioelectrical engineering, biochemical engineering, and biomedical imaging.

《Annual Review of Biomedical Engineering》自1999年出版，涵盖了生物医学工程领域的多个重要主题，包括生物力学、生物材料、计算基因组学与蛋白质组学、组织工程、生物监测、医疗工程、药物输送、生物电工程、生化工程以及生物医学成像等。

Annual Review of Biomedical Engineering

Induced hypothermia is an acknowledged useful therapy for treating conditions that lead to cell and tissue damage caused by ischemia, including traumatic brain injury, stroke, and cardiac arrest. An accumulating body of clinical evidence, together with several decades of research, has documented that the efficacy of hypothermia is dependent on achieving a reduced temperature in the target tissue before or soon following the ischemia-precipitating event. The temperature must be lowered to within a rather small range of values to effect therapeutic benefit without introducing collateral problems. Rewarming must be much slower than cooling. Many different methods and devices have been used for cooling, with mixed results. There are existing opportunities for bioengineers to improve our understanding of the mechanisms of hypothermia and to develop more effective methods of cooling the brain following trauma.

Kenneth R. Diller

Liang Zhu

Hypothermia Therapy for Brain Injury

脑损伤的低温疗法

Injury and degeneration of tendon, the soft tissue that mechanically links muscle and bone, can cause substantial pain and loss of function. This review discusses the composition and function of healthy tendon and describes the structural, biological, and mechanical changes initiated during the process of tendon healing. Biochemical pathways activated during repair, experimental injury models, and parallels between tendon healing and tendon development are emphasized, and cutting-edge strategies for the enhancement of tendon healing are discussed.

Pramod B. Voleti

Mark R. Buckley

Louis J. Soslowsky

Annu. Rev. Biomed. Eng.

Tendon Healing: Repair and Regeneration

肌腱愈合：修复与再生

Forces are increasingly recognized as major regulators of cell structure and function, and the mechanical properties of cells are essential to the mechanisms by which cells sense forces, transmit them to the cell interior or to other cells, and transduce them into chemical signals that impact a spectrum of cellular responses. Comparison of the mechanical properties of intact cells with those of the purified cytoskeletal biopolymers that are thought to dominate their elasticity reveal the extent to which the studies of purified systems can account for the mechanical properties of the much more heterogeneous and complex cell. This review summarizes selected aspects of current work on cell mechanics with an emphasis on the structures that are activated in cell-cell contacts, that regulate ion flow across the plasma membrane, and that may sense fluid flow that produces low levels of shear stress.

Paul A. Janmey

Christopher A. McCulloch

Cell Mechanics: Integrating Cell Responses to Mechanical Stimuli

细胞力学：整合细胞对机械刺激的响应

This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep learning, are helping to identify, classify, and quantify patterns in medical images. At the core of these advances is the ability to exploit hierarchical feature representations learned solely from data, instead of features designed by hand according to domain-specific knowledge. Deep learning is rapidly becoming the state of the art, leading to enhanced performance in various medical applications. We introduce the fundamentals of deep learning methods and review their successes in image registration, detection of anatomical and cellular structures, tissue segmentation, computer-aided disease diagnosis and prognosis, and so on. We conclude by discussing research issues and suggesting future directions for further improvement.

Dinggang Shen

Guorong Wu

Heung-Il Suk

Deep Learning in Medical Image Analysis

医学图像分析中的深度学习

Medical robotics is poised to transform all aspects of medicine—from surgical intervention to targeted therapy, rehabilitation, and hospital automation. A key area is the development of robots for minimally invasive interventions. This review provides a detailed analysis of the evolution of interventional robots and discusses how the integration of imaging, sensing, and robotics can influence the patient care pathway toward precision intervention and patient-specific treatment. It outlines how closer coupling of perception, decision, and action can lead to enhanced dexterity, greater precision, and reduced invasiveness. It provides a critical analysis of some of the key interventional robot platforms developed over the years and their relative merit and intrinsic limitations. The review also presents a future outlook for robotic interventions and emerging trends in making them easier to use, lightweight, ergonomic, and intelligent, and thus smarter, safer, and more accessible for clinical use.

Jocelyne Troccaz

Giulio Dagnino

Guang-Zhong Yang

Frontiers of Medical Robotics: From Concept to Systems to Clinical Translation

医学机器人前沿：从概念到系统再到临床转化

Questions in cancer have engaged systems biologists for decades. During that time, the quantity of molecular data has exploded, but the need for abstractions, formal models, and simplifying insights has remained the same. This review brings together classic breakthroughs and recent findings in the field of cancer systems biology, focusing on cancer-cell pathways for tumorigenesis and therapeutic response. Cancer cells mutate and transduce information from their environment to alter gene expression, metabolism, and phenotypic states. Understanding the molecular architectures that make each of these steps possible is a long-term goal of cancer systems biology pursued by iterating between quantitative models and experiments. We argue that such iteration is the best path to deploying targeted therapies intelligently so that each patient receives the maximum benefit for their cancer.

Kevin A. Janes

Matthew J. Lazzara

Systems Biology of the Cancer Cell

癌细胞系统生物学

Autoimmunity, allergy, and transplant rejection are a collection of chronic diseases that are currently incurable, drastically decrease patient quality of life, and consume considerable health care resources. Underlying each of these diseases is a dysregulated immune system that results in the mounting of an inflammatory response against self or an innocuous antigen. As a consequence, afflicted patients are required to adhere to lifelong regimens of multiple immunomodulatory drugs to control disease and reclaim agency. Unfortunately, current immunomodulatory drugs are associated with a myriad of side effects and adverse events, such as increased risk of cancer and increased risk of serious infection, which negatively impacts patient adherence rates and quality of life. The field of immunoengineering is a new discipline that aims to harness endogenous biological pathways to thwart disease and minimize side effects using novel biomaterial-based strategies. We highlight and discuss polymeric micro/nanoparticles with inherent immunomodulatory properties that are currently under investigation in biomaterial-based therapies for treatment of autoimmunity, allergy, and transplant rejection.

Allen B. Tu

Gaddam Krishna

Kevin R. Smith

Jamal S. Lewis

Harnessing Immunomodulatory Polymers for Treatment of Autoimmunity, Allergy, and Transplant Rejection

利用免疫调节聚合物治疗自身免疫、过敏和移植排斥

Utku M. Sonmez

Nolan Frey

Philip R. LeDuc

Jonathan S. Minden

Fly Me to the Micron: Microtechnologies for Drosophila Research

带我飞向微观世界：果蝇研究中的微技术

Recent advancements in soft electronic skin (e-skin) have led to the development of human-like devices that reproduce the skin's functions and physical attributes. These devices are being explored for applications in robotic prostheses as well as for collecting biopotentials for disease diagnosis and treatment, as exemplified by biomedical e-skins. More recently, machine learning (ML) has been utilized to enhance device control accuracy and data processing efficiency. The convergence of e-skin technologies with ML is promoting their translation into clinical practice, especially in healthcare. This review highlights the latest developments in ML-reinforced e-skin devices for robotic prostheses and biomedical instrumentations. We first describe technological breakthroughs in state-of-the-art e-skin devices, emphasizing technologies that achieve skin-like properties. We then introduce ML methods adopted for control optimization and pattern recognition, followed by practical applications that converge the two technologies. Lastly, we briefly discuss the challenges this interdisciplinary research encounters in its clinical and industrial transition.

Ja Hoon Koo

Young Joong Lee

Hye Jin Kim

Wojciech Matusik

Dae-Hyeong Kim

Hyoyoung Jeong

Electronic Skin: Opportunities and Challenges in Convergence with Machine Learning

电子皮肤：与机器学习融合的机遇与挑战

The impact of tissue engineering has extended beyond a traditional focus in medicine to the rapidly growing realm of biohybrid robotics. Leveraging living actuators as functional components in machines has been a central focus of this field, generating a range of compelling demonstrations of robots capable of muscle-powered swimming, walking, pumping, gripping, and even computation. In this review, we highlight key advances in fabricating tissue-scale cardiac and skeletal muscle actuators for a range of functional applications. We discuss areas for future growth including scalable manufacturing, integrated feedback control, and predictive modeling and also propose methods for ensuring inclusive and bioethics-focused pedagogy in this emerging discipline. We hope this review motivates the next generation of biomedical engineers to advance rational design and practical use of living machines for applications ranging from telesurgery to manufacturing to on- and off-world exploration.

Ritu Raman

Biofabrication of Living Actuators

生物制造活体执行器

Abbreviation	Annu. Rev. Biomed. Eng.
Journal Impact	12.95
Quartiles(Global)	ENGINEERING, BIOMEDICAL(Q1)

ISSN	1523-9829, 1545-4274
h-index	154

Publication Information	Publisher: Annual Reviews Inc.，Publishing cycle: Annual，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 1999，Proportion of original research papers: 0.00%，Self Citation Rate:0.80%， Gold OA Rate: 88.24%
Average review cycle	网友分享经验：约稿?周期不定
Average recruitment ratio	网友分享经验：约稿形式

Annual Review of Biomedical Engineering

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