Current Opinion in Biomedical Engineering最新文献

英文中文

Nanomaterials for controlled drug delivery in wound healing: Recent advances and future directions 纳米材料在伤口愈合中的控制药物递送：最新进展和未来方向

IF 4.2 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2026-03-01 Epub Date: 2025-11-28 DOI: 10.1016/j.cobme.2025.100637

Nasim Mohammadi , Mahesh Narayan

Chronic wounds exert a rising global health burden. The lack of effective intervention is an outcome created by four core pathophysiological barriers, viz., biofilm persistence, oxidative stress, impaired angiogenesis, and dysregulated inflammation/extracellular matrix (ECM) remodeling. To overcome the interventional hurdles, nanomaterial-based delivery systems including electrospun nanofibers, hydrogels, and nanoparticles offer intelligent, multi-targeted solutions through controlled release and intrinsic bioactivity. This review is structured around recent advances (2020–2025) around these barriers and critically evaluates how each platform counters specific deficits. Briefly, nanofibers mimic ECM to restore remodeling, hydrogels scavenge ROS and enable on-demand release, nanoparticles penetrate biofilms while upregulating VEGF and hybrid systems achieve synergistic outcomes (e.g., 55 % faster diabetic wound closure). Furthermore, translational challenges involving toxicity, scalability, and regulation are discussed along with strategies for clinical acceleration. We conclude with a roadmap for AI-guided, closed-loop, dressings that potentially (and dynamically) address the lowering of all four barriers, and pave the way for precision wound care.

慢性伤口造成的全球卫生负担日益加重。缺乏有效的干预是由四个核心病理生理障碍造成的结果，即生物膜持久性、氧化应激、血管生成受损和炎症/细胞外基质（ECM）重塑失调。为了克服介入障碍，基于纳米材料的递送系统，包括静电纺纳米纤维、水凝胶和纳米颗粒，通过控制释放和内在的生物活性，提供智能的多目标解决方案。本综述围绕这些障碍的最新进展（2020-2025年）进行，并批判性地评估每个平台如何应对特定的缺陷。简而言之，纳米纤维模拟ECM以恢复重塑，水凝胶清除ROS并实现按需释放，纳米颗粒穿透生物膜，同时上调VEGF和混合系统实现协同结果（例如，糖尿病伤口愈合速度加快55%）。此外，涉及毒性、可扩展性和监管的转化挑战与临床加速策略一起被讨论。我们总结了人工智能引导的闭环敷料路线图，该路线图可能（和动态）解决所有四个障碍的降低问题，并为精确伤口护理铺平道路。

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引用次数: 0

Recent advances in optical tools for measurement and manipulation of oncogenic cellular metabolism 用于测量和操纵致癌细胞代谢的光学工具的最新进展

IF 4.2 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2026-03-01 Epub Date: 2025-12-27 DOI: 10.1016/j.cobme.2025.100647

Keefer Boone , Yuepeng Ke , Hongje Jang , Lingyan Shi , Yubin Zhou , Cynthia A. Reinhart-King

Cancer is increasingly understood as a metabolic disease. Oncogenic signaling reshapes core metabolic pathways, enabling cells to survive during tumor progression, invasion, and immune evasion. Gradients in oxygen, nutrients, and mechanical stress create diverse niches that drive metabolic heterogeneity. These variations are often masked by traditional bulk measurements that average across cell populations. This review highlights the growing arsenal of genetically encoded and exogenous fluorescent probes that enable real-time, single-cell monitoring of metabolism. In parallel, we explore optogenetic actuators that allow for precise manipulation of metabolism using light. Finally, we discuss advanced optical imaging techniques that provide label-free, high-resolution insights into single-cell metabolic activity across complex tissue environments. Together, these biosensors and actuators offer powerful means to examine how metabolism varies across individual cells and how it contributes to tumor behavior. These technologies hold promise for improving metabolic understanding and may ultimately guide new diagnostic and therapeutic approaches.

癌症越来越被认为是一种代谢性疾病。致癌信号重塑核心代谢途径，使细胞在肿瘤进展、侵袭和免疫逃避期间存活。氧、营养和机械应力的梯度创造了不同的生态位，驱动代谢异质性。这些变化通常被传统的在细胞群中平均的批量测量所掩盖。这篇综述强调了越来越多的基因编码和外源性荧光探针，使实时，单细胞监测代谢。同时，我们探索光遗传致动器，允许使用光精确操纵代谢。最后，我们讨论了先进的光学成像技术，为复杂组织环境中的单细胞代谢活动提供无标签，高分辨率的见解。总之，这些生物传感器和致动器提供了强大的手段来检查代谢如何在单个细胞之间变化以及它如何促进肿瘤行为。这些技术有望提高对代谢的理解，并可能最终指导新的诊断和治疗方法。

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引用次数: 0

Engineering cancer's journey: Emerging tools for metastasis modeling 工程癌症之旅：转移模型的新兴工具。

IF 4.2 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2026-03-01 Epub Date: 2025-11-15 DOI: 10.1016/j.cobme.2025.100631

Tianna A. Edwards , Haylee L. Wagner , Shelly R. Peyton

The overwhelming majority of cancer-associated deaths occur due to metastasis—the spread of cells from the primary tumor to distant organs—where disseminated cells eventually colonize and destroy organ function. For metastasis to occur, a cell must acquire diverse traits, including the ability to migrate away from the primary tumor, cross an endothelial barrier, survive in circulation, re-emerge across a new endothelial barrier at a distant tissue site, and ultimately resume proliferation to colonize a foreign tissue environment. Bioengineers have recognized that tools originally developed for tissue engineering are useful for experimentally modeling cancer and metastasis. Cancer bioengineering is an emerging subfield of biomedical engineering that unifies engineering and cancer biology to better understand, diagnose, and treat cancer. The National Cancer Institute has made a bold call emphasizing the need for these bioengineered in vitro models of cancer to supplement animal models. Hypothesis testing, large discovery-based screens, and mechanistic studies of metastasis in in vitro models may help guide ensuing, targeted animal studies. In this brief, forward-looking review, we discuss whether and how in vitro models can be used to study the full metastatic cascade, from invasion to outgrowth, and what must continue to be developed so that the models faithfully recapitulate the full disease progression and are approachable for scientists worldwide.

绝大多数与癌症相关的死亡是由于转移——细胞从原发肿瘤扩散到远处器官——在那里，播散的细胞最终定植并破坏器官功能。为了发生转移，细胞必须获得多种特性，包括从原发肿瘤迁移的能力，穿过内皮屏障，在循环中存活，在远处组织部位重新出现新的内皮屏障，并最终恢复增殖以定植外来组织环境。生物工程师已经认识到，最初为组织工程开发的工具对于实验模拟癌症和转移是有用的。癌症生物工程是生物医学工程的一个新兴分支，它将工程学和癌症生物学结合起来，以更好地理解、诊断和治疗癌症。美国国家癌症研究所做出了一个大胆的呼吁，强调需要这些生物工程的体外癌症模型来补充动物模型。假设检验、基于发现的大规模筛选和体外模型转移的机制研究可能有助于指导后续的靶向动物研究。在这篇简短的前瞻性综述中，我们讨论了体外模型是否以及如何用于研究从侵袭到生长的完整转移级联，以及必须继续发展的内容，以便模型忠实地概括整个疾病进展，并为全世界的科学家所接受。

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引用次数: 0

Aging and the extracellular matrix: A tumor-permissive microenvironment driving cancer progression 衰老和细胞外基质：肿瘤容许微环境驱动癌症进展

IF 4.2 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-12-01 Epub Date: 2025-08-26 DOI: 10.1016/j.cobme.2025.100618

Lauren Hawthorne , Jun Yang , Pinar Zorlutuna

Aging is a significant cancer risk factor, yet its impact on the extracellular matrix (ECM) in tumor initiation and progression has been traditionally overlooked. While significant amounts of research focus on cellular and genetic links between aging and cancer, recent studies highlight how age-induced ECM changes create a tumor-permissive environment. Here we review this emerging research area, where age-related ECM alterations, such as age-induced increases in matrix stiffness, biochemical changes, and resultant dysregulated mechanosensitive pathways, are explored for their influence in cancer initiation and progression. Additionally, recent studies have showed how aged cells contribute to ECM alterations, further reinforcing tumor-permissive changes. This review examines both aspects of ECM aging, i.e. material-driven and cell-driven, and highlights current understandings of how ECM aging influences interactions within the tumor microenvironment in multiple cancer types, with a focus on biomechanical aspects. We also discuss emerging age-mimetic in vitro models facilitating studies of age-dependent cancer progression and therapeutic responses. Finally, we review therapeutic strategies that target aging-associated components or ECM changes to improve treatment efficacy.

衰老是一个重要的癌症危险因素，但其对细胞外基质（ECM）在肿瘤发生和发展中的影响一直被忽视。虽然大量的研究集中在衰老和癌症之间的细胞和遗传联系上，但最近的研究强调了年龄诱导的ECM变化如何创造一个肿瘤允许的环境。在这里，我们回顾了这一新兴的研究领域，其中年龄相关的ECM改变，如年龄诱导的基质硬度增加、生化变化和由此产生的机械敏感途径失调，探讨了它们在癌症发生和发展中的影响。此外，最近的研究表明，衰老细胞如何促进ECM的改变，进一步加强肿瘤允许的变化。本文综述了ECM老化的两个方面，即材料驱动和细胞驱动，并强调了目前对ECM老化如何影响多种癌症类型肿瘤微环境内相互作用的理解，重点是生物力学方面。我们还讨论了促进年龄依赖性癌症进展和治疗反应研究的新兴年龄模拟体外模型。最后，我们回顾了针对衰老相关成分或ECM变化的治疗策略，以提高治疗效果。

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引用次数: 0

Antibacterial electrospun nanofibers for wound dressing applications 用于伤口敷料的抗菌静电纺纳米纤维

IF 4.2 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-12-01 Epub Date: 2025-07-26 DOI: 10.1016/j.cobme.2025.100616

Fuat Topuz , Tamer Uyar

Electrospun nanofibers, with their high porosity, mechanical flexibility, ease of functionalization, and structural similarity to the extracellular matrix, represent a versatile platform for advanced wound dressings. Their capacity to incorporate bioactive components and cell-binding motifs facilitates cellular adhesion, proliferation, antimicrobial defense, and tissue regeneration. This review highlights recent progress (since 2020) in the development of antibacterial electrospun wound dressings, emphasizing systems composed of natural and synthetic polymers, as well as their hybrids. The electrospinning technique and the advantages of electrospun wound dressings are first briefly discussed. Key functionalization strategies using antibiotics, antibacterial peptides and phytochemicals, metal ions, and inorganic nanoparticles are then elaborated in the context of their mechanisms for combating bacterial infections. The ability to tailor material composition and achieve controlled release, along with embedding regenerative cues, makes electrospun nanofiber dressings strong candidates for treating both acute and chronic wounds.

电纺纳米纤维具有高孔隙率、机械柔韧性、易于功能化和与细胞外基质结构相似的特点，是先进伤口敷料的通用平台。它们结合生物活性成分和细胞结合基序的能力促进了细胞粘附、增殖、抗菌防御和组织再生。本文综述了抗菌静电纺丝伤口敷料的最新进展（自2020年以来），重点介绍了由天然和合成聚合物及其混合物组成的系统。首先简要介绍了静电纺丝技术和静电纺丝敷料的优点。关键功能化策略使用抗生素，抗菌肽和植物化学物质，金属离子，无机纳米颗粒，然后在其对抗细菌感染的机制的背景下阐述。定制材料成分和实现可控释放的能力，以及嵌入再生线索的能力，使静电纺纳米纤维敷料成为治疗急性和慢性伤口的有力候选者。

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引用次数: 0

Nano-biomaterials: Emerging tools in biomedical innovation and therapy 纳米生物材料：生物医学创新和治疗的新兴工具

IF 4.2 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-12-01 Epub Date: 2025-10-10 DOI: 10.1016/j.cobme.2025.100627

Priya Mullick , Abhijit Manna

Nano-biomaterials have become essential tools in biomedical and healthcare applications. To fully harness their potential, it is crucial to develop synthesis methods that are nontoxic, biocompatible, and environmentally friendly. This review highlights recent advancements in nano-biomaterials that address significant challenges such as bone regeneration, implant-associated infections, drug delivery, wound healing, and theranostics. Inorganic nanomaterials demonstrate notable biocompatibility and osteoinductive properties, making them suitable for bone and dental applications. Additionally, nanoparticle-reinforced hydrogels improve drug delivery and tissue regeneration by mimicking the extracellular matrix. Antibacterial surface coatings help to prevent implant-related infections while promoting tissue integration. Stimuli-responsive nanomaterials allow for controlled drug release in response to internal or external signals. Furthermore, CRISPR-Cas9-based nanocarriers enable precise gene editing with minimal off-target effects. Smart nanomaterials are also enhancing theranostic platforms and innovative tissue repair strategies. This review emphasizes the transformative role of multifunctional nano-biomaterials in shaping next-generation biomedical therapies.

纳米生物材料已成为生物医学和医疗保健应用的重要工具。为了充分利用它们的潜力，开发无毒、生物相容性和环境友好的合成方法至关重要。这篇综述强调了纳米生物材料在解决骨再生、植入物相关感染、药物输送、伤口愈合和治疗等重大挑战方面的最新进展。无机纳米材料表现出显著的生物相容性和骨诱导特性，使其适用于骨和牙科应用。此外，纳米颗粒增强水凝胶通过模拟细胞外基质改善药物输送和组织再生。抗菌表面涂层有助于预防种植体相关感染，同时促进组织整合。刺激反应纳米材料允许控制药物释放响应内部或外部信号。此外，基于crispr - cas9的纳米载体能够以最小的脱靶效应进行精确的基因编辑。智能纳米材料也增强了治疗平台和创新的组织修复策略。这篇综述强调了多功能纳米生物材料在塑造下一代生物医学治疗中的变革作用。

{"title":"Nano-biomaterials: Emerging tools in biomedical innovation and therapy","authors":"Priya Mullick , Abhijit Manna","doi":"10.1016/j.cobme.2025.100627","DOIUrl":"10.1016/j.cobme.2025.100627","url":null,"abstract":"<div><div>Nano-biomaterials have become essential tools in biomedical and healthcare applications. To fully harness their potential, it is crucial to develop synthesis methods that are nontoxic, biocompatible, and environmentally friendly. This review highlights recent advancements in nano-biomaterials that address significant challenges such as bone regeneration, implant-associated infections, drug delivery, wound healing, and theranostics. Inorganic nanomaterials demonstrate notable biocompatibility and osteoinductive properties, making them suitable for bone and dental applications. Additionally, nanoparticle-reinforced hydrogels improve drug delivery and tissue regeneration by mimicking the extracellular matrix. Antibacterial surface coatings help to prevent implant-related infections while promoting tissue integration. Stimuli-responsive nanomaterials allow for controlled drug release in response to internal or external signals. Furthermore, CRISPR-Cas9-based nanocarriers enable precise gene editing with minimal off-target effects. Smart nanomaterials are also enhancing theranostic platforms and innovative tissue repair strategies. This review emphasizes the transformative role of multifunctional nano-biomaterials in shaping next-generation biomedical therapies.</div></div>","PeriodicalId":36748,"journal":{"name":"Current Opinion in Biomedical Engineering","volume":"36 ","pages":"Article 100627"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fuel, form, and memory: The motility-driven journey of cancer cells 燃料、形态和记忆：癌细胞的运动驱动之旅

IF 4.2 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-12-01 Epub Date: 2025-09-22 DOI: 10.1016/j.cobme.2025.100624

Carolina Trenado-Yuste , Celeste M. Nelson

Tumor progression is a complex, multi-stage process that involves tumor formation, cancer cell invasion, metastasis, and colonization of distant sites. Each stage is driven in part by cell motility and interactions between cancer cells and their surrounding microenvironment. In this review, we describe how cell motility contributes to each stage of cancer progression, with a focus on cell metabolism, nuclear mechanics, and mechanical memory. Throughout, we highlight the mechanisms used by cancer cells to move and adapt during the metastatic cascade. Understanding how cancer cells migrate can provide valuable insights into novel approaches to disrupt metastasis and improve outcomes of cancer treatments.

肿瘤进展是一个复杂的多阶段过程，包括肿瘤形成、癌细胞侵袭、转移和远处定植。每个阶段都部分由细胞运动和癌细胞与其周围微环境之间的相互作用驱动。在这篇综述中，我们描述了细胞运动如何促进癌症进展的各个阶段，重点是细胞代谢、核力学和机械记忆。总之，我们强调癌细胞在转移级联过程中移动和适应的机制。了解癌细胞如何迁移可以为破坏转移和改善癌症治疗结果的新方法提供有价值的见解。

引用次数: 0

AI-powered wearable sensors for health monitoring and clinical decision making 用于健康监测和临床决策的人工智能可穿戴传感器

IF 4.2 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-12-01 Epub Date: 2025-10-15 DOI: 10.1016/j.cobme.2025.100628

Shovito Barua Soumma , Abdullah Mamun , Hassan Ghasemzadeh

AI-powered wearable sensors are transforming remote health monitoring by enabling real-time diagnostics, personalized interventions and proactive disease management. This review synthesizes recent advances in AI-integrated biosensors across conditions such as diabetes, cardiovascular disease, neurodegenerative dis- orders, mental health, and maternal/neonatal care, while addressing challenges of scalability, privacy, interoperability, and model robustness. We highlight machine learning methods—including federated learning, transfer learning, and edge- AI—that enhance the processing of physiological signals i.e., glucose levels, gait patterns, and heart rate variability. Key innovations, including FDA-approved glucose monitors and digital twins for predictive health modeling, underscore the shift toward patient-centric and data-driven care. Yet, persistent gaps remain, including device heterogeneity, privacy concerns, and the need for adaptive models that generalize across populations. Emerging approaches such as large language models and counterfactual explanations provide contextualized insights and transparent decision-making. By bridging technical advances with clinical needs, this review charts a roadmap toward democratized, equitable, and precise healthcare.

人工智能驱动的可穿戴传感器通过实现实时诊断、个性化干预和主动疾病管理，正在改变远程健康监测。本综述综合了人工智能集成生物传感器在糖尿病、心血管疾病、神经退行性疾病、精神健康和孕产妇/新生儿护理等疾病中的最新进展，同时解决了可扩展性、隐私性、互操作性和模型鲁棒性方面的挑战。我们强调机器学习方法——包括联邦学习、迁移学习和边缘人工智能——增强生理信号的处理，即葡萄糖水平、步态模式和心率变异性。关键的创新，包括fda批准的血糖监测仪和用于预测健康建模的数字双胞胎，强调了向以患者为中心和数据驱动的护理的转变。然而，持续存在的差距仍然存在，包括设备异质性、隐私问题以及对适用于所有人群的自适应模型的需求。诸如大型语言模型和反事实解释等新兴方法提供了情境化的见解和透明的决策。通过将技术进步与临床需求相结合，本综述为实现民主化、公平和精确的医疗保健绘制了路线图。

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引用次数: 0

Intelligent nanoparticle design: Unlocking the potential of AI for transformative drug delivery 智能纳米颗粒设计：释放人工智能在变革性药物输送方面的潜力

IF 4.2 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-12-01 Epub Date: 2025-10-15 DOI: 10.1016/j.cobme.2025.100625

Sepinoud Azimi

Artificial intelligence (AI) is revolutionizing nanoparticle (NP)-based drug delivery by tackling design, synthesis, and optimization challenges. Traditional approaches to NP development often rely on trial-and-error methods, leading to scalability, biocompatibility, and targeted drug release inefficiencies. This review explores how AI-driven models are transforming the landscape of NP formulation, from enhancing drug encapsulation and optimizing release kinetics to improving targeted delivery and overcoming physiological barriers. Additionally, we examine the challenges associated with AI integration, including data limitations and model interpretability, and discuss strategies for bridging these gaps. By leveraging AI, the field of nanomedicine can accelerate the transition from laboratory research to clinical applications, ultimately improving treatment outcomes for complex diseases.

人工智能（AI）通过解决设计、合成和优化方面的挑战，正在彻底改变基于纳米颗粒（NP）的药物递送。传统的NP开发方法通常依赖于试错方法，导致可扩展性、生物相容性和靶向药物释放效率低下。这篇综述探讨了人工智能驱动的模型如何改变NP配方的格局，从增强药物包封和优化释放动力学到改善靶向给药和克服生理障碍。此外，我们还研究了与人工智能集成相关的挑战，包括数据限制和模型可解释性，并讨论了弥合这些差距的策略。通过利用人工智能，纳米医学领域可以加速从实验室研究到临床应用的过渡，最终改善复杂疾病的治疗效果。

引用次数: 0

Microfluidic platforms for organ-on-a-chip models: Creating dynamic microenvironments for organoid and multi-organ systems 芯片上器官模型的微流控平台：为类器官和多器官系统创建动态微环境

IF 4.2 3区工程技术 Q2 ENGINEERING, BIOMEDICAL

Current Opinion in Biomedical Engineering

Pub Date : 2025-12-01 Epub Date: 2025-11-03 DOI: 10.1016/j.cobme.2025.100630

Francesca Tomatis , Silvia Angiolillo , Eirini Maniou , Onelia Gagliano , Nicola Elvassore

Organoids have revolutionized in vitro modeling of human development and disease, yet their full potential remains constrained by the limited spatial and temporal control over their microenvironment and 3D organization. The integration of organ-on-a-chip (OoC) technologies with organoids, the so-called organoids-on-a-chip (OrgOC) offers a powerful solution to overcome these limitations, enabling the development of dynamic, structured, and reproducible systems. In this review, we discuss how physical principles of microfluidics can be exploited to engineer microenvironments with precise control over shape, signaling, and tissue-level organization. We explore recent advances in microfluidic strategies for shaping organoid geometry, establishing spatiotemporal morphogen gradients, and integrating multi-organoid assemblies to mimic inter-organ communication. We also report scalable approaches for organoid production and sorting that leverage automation, to improve reproducibility, patterning fidelity, and scalability. Together, these approaches are redefining the landscape of in vitro modeling by bringing organoid systems closer to the complexity, integration, and responsiveness of human tissues.

类器官已经彻底改变了人类发育和疾病的体外建模，但它们的全部潜力仍然受到对其微环境和三维组织的有限时空控制的限制。芯片上器官（OoC）技术与类器官的集成，即所谓的芯片上器官（OrgOC），为克服这些限制提供了一个强大的解决方案，使动态、结构化和可复制系统的开发成为可能。在这篇综述中，我们讨论了如何利用微流体的物理原理来设计精确控制形状、信号和组织水平组织的微环境。我们探讨了微流控策略在塑造类器官几何形状、建立时空形态梯度和整合多类器官组装以模拟器官间通信方面的最新进展。我们还报告了可扩展的类器官生产和分类方法，利用自动化，提高再现性，模式保真度和可扩展性。总之，这些方法通过使类器官系统更接近人类组织的复杂性、整体性和反应性，重新定义了体外建模的前景。

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引用次数: 0

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