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Development of starch-based support material alternately extruded with gelatin-based bioinks for 3D bioprinting application 开发用于生物3D打印的淀粉基支撑材料与明胶基生物墨水交替挤压
Q1 Computer Science Pub Date : 2025-09-15 DOI: 10.1016/j.bprint.2025.e00439
Pekik Wiji Prasetyaningrum, Wildan Mubarok, Takashi Kotani, Shinji Sakai
The use of support materials is crucial for the 3D bioprinting of low-viscosity bioinks, which yield soft hydrogel constructs susceptible to deformation under their weight. In this study, we developed a starch-based support material that provides structural support during printing and supplies hydrogen peroxide (H2O2), for printing cell-laden constructs from low-viscosity bioinks (4.4–53.1 mPa s at 1 s−1 shear rate) composed of a gelatin derivative possessing phenolic hydroxyl moieties (gelatin-Ph), horseradish peroxidase (HRP), and cells. Importantly, the support material can be selectively and gently removed using α-amylase, a biocompatible enzyme, without harming the construct or encapsulated cells, which is a significant advancement over conventional methods of removing support systems. 3D constructs were fabricated by alternately extruding bioinks containing 5.0 w/v% gelatin-Ph and 10 U/mL HRP with a support material consisting of 16.7 w/w% starch and 10 mM H2O2. Immortalized human bone marrow-derived mesenchymal stem cells encapsulated within the constructs showed >80 % viability after printing and exhibited an elongated morphology and proliferation, while maintaining their stemness over 14 days of culture. The cells underwent osteogenic differentiation when cultured in a differentiation medium, as evidenced by the calcium deposition, alkaline phosphatase activity, and expression of osteogenic genes, demonstrating the potential of the proposed approach for tissue-engineering applications.
支撑材料的使用对于低粘度生物墨水的3D生物打印至关重要,因为它产生的软水凝胶结构在其重量下容易变形。在这项研究中,我们开发了一种淀粉基支撑材料,在打印过程中提供结构支撑,并提供过氧化氢(H2O2),用于打印低粘度生物墨水(4.4-53.1 mPa s, 1 s−1剪切速率)的细胞负载结构,该生物墨水由具有酚羟基部分的明胶衍生物(明胶- ph)、辣根过氧化物酶(HRP)和细胞组成。重要的是,可以使用α-淀粉酶(一种生物相容性酶)选择性地、温和地去除支撑材料,而不会损害结构或被包裹的细胞,这是传统去除支撑系统方法的重大进步。通过交替挤压含有5.0 w/v%明胶- ph和10 U/mL HRP的生物墨水,以16.7 w/w%淀粉和10 mM H2O2组成的支撑材料制备三维结构体。包裹在构建物内的永生化人骨髓间充质干细胞在打印后显示出80%的活力,并表现出细长的形态和增殖,同时在培养14天内保持其干性。当细胞在分化培养基中培养时,通过钙沉积、碱性磷酸酶活性和成骨基因的表达证明了细胞发生了成骨分化,证明了该方法在组织工程应用中的潜力。
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引用次数: 0
Advances in polymeric nanoparticles and hydrogels in 3D bioprinting: Enhancing bioinks for tissue engineering and regenerative medicine 高分子纳米粒子和水凝胶在3D生物打印中的进展:增强组织工程和再生医学的生物墨水
Q1 Computer Science Pub Date : 2025-09-13 DOI: 10.1016/j.bprint.2025.e00438
B. Pavithra , Prabhakar Singh , V Ramesh Kumar , Siva Durairaj , Saqib Hassan
In tissue engineering and regenerative medicine, 3D bioprinting has become a revolutionary technique that makes it possible to precisely fabricate intricate biological structures. The creation of sophisticated bioinks, especially those that include hydrogels and polymeric nanoparticles, is essential to its success. These substances promote cellular adhesion, proliferation, and differentiation by providing special physicochemical characteristics that closely resemble the natural extracellular matrix. Hydrogels offer a moist, friendly environment that promotes tissue growth, whereas polymeric nanoparticles improve the mechanical strength, printability, and controlled drug administration of bioinks. Recent developments in the creation and use of hydrogels and polymeric nanoparticles in 3D bioprinting are summarized in this review, with an emphasis on their applications in organ regeneration, wound healing, and personalized medicine. It also discusses current problems that need to be resolved in order to transform laboratory breakthroughs into clinical treatments, such as biocompatibility, structural fidelity, and standardization. The future of 3D bioprinting holds the possibility of previously unheard-of advances in functional tissue restoration and patient-specific treatment through the integration of nanotechnology, machine learning, and biomaterial science.
在组织工程和再生医学领域,生物3D打印已经成为一项革命性的技术,它使精确制造复杂的生物结构成为可能。复杂生物墨水的创造,特别是那些包含水凝胶和聚合纳米颗粒的生物墨水,是其成功的关键。这些物质通过提供与天然细胞外基质非常相似的特殊物理化学特性,促进细胞粘附、增殖和分化。水凝胶提供了一个湿润、友好的环境,促进组织生长,而聚合物纳米颗粒提高了生物墨水的机械强度、可打印性和可控的药物管理。本文综述了水凝胶和聚合物纳米颗粒在生物3D打印中的制备和应用的最新进展,重点介绍了它们在器官再生、伤口愈合和个性化医疗中的应用。它还讨论了当前需要解决的问题,以便将实验室的突破转化为临床治疗,如生物相容性,结构保真度和标准化。通过纳米技术、机器学习和生物材料科学的整合,3D生物打印的未来在功能性组织修复和患者特异性治疗方面拥有前所未有的进步的可能性。
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引用次数: 0
A systematic study of high-performance hydroxyapatite processed by vat photopolymerization additive manufacturing 还原光聚合增材制造高性能羟基磷灰石的系统研究
Q1 Computer Science Pub Date : 2025-09-11 DOI: 10.1016/j.bprint.2025.e00434
Haowen Liang , Tengbo Li , Junpeng Huang , Binbin Guo , Sijing Li , Xiaoteng Chen , Shixiang Yu , Cheng Liu , Guoxian Pei , Jiaming Bai
Vat photopolymerization (VPP) enables the fabrication of hydroxyapatite (HAp) with high resolution, complex geometry and interconnected porous structures. However, the inherent property characterization of the VPP-printed HAp as a comparative benchmark for peer studies is still lacking. This study systematically analyzed the performance of VPP-printed HAp with a 55 vol% solid loading, focusing on printability, fabrication quality, mechanical performance limits, reliability, and biological response. The optimized HAp slurry presented high polymerization reactivity and efficient, precise photocuring performance at 17 mJ/cm2. With a high density of 98.98 % and compacted grain boundaries, the bending strength of the HAp reached 127 MPa, surpassing the highest reported value for 3D-printing HAp by 23.3 %. In vitro studies demonstrated that the VPP-printed HAp promoted osteoblast proliferation and osteogenic differentiation. The HAp fabricated via VPP with efficient printability, controllable fabrication accuracy (within 1 %) and quality, good mechanical performance and osteogenic activity showcased its promising potential in implant fabrication for bone tissue repair.
还原光聚合(VPP)使羟基磷灰石(HAp)具有高分辨率,复杂的几何形状和相互连接的多孔结构。然而,作为同行研究的比较基准,vpp打印HAp的固有特性表征仍然缺乏。本研究系统地分析了固体负载量为55vol %的vpp打印HAp的性能,重点是可打印性、制造质量、机械性能限制、可靠性和生物反应。优化后的HAp料浆具有较高的聚合反应活性和高效、精确的光固化性能,光固化强度为17 mJ/cm2。该材料具有98.98%的高密度和致密的晶界,其弯曲强度达到127 MPa,比3d打印HAp的最高报告值高出23.3%。体外研究表明,vpp打印的HAp促进成骨细胞增殖和成骨分化。VPP制备的HAp具有良好的可打印性、可控制的制造精度(1%以内)和质量、良好的力学性能和成骨活性,在骨组织修复种植体制造中具有广阔的应用前景。
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引用次数: 0
HYBERFLOW — enabling non-invasive flow rate feedback control in bioprinting via hydraulic actuation HYBERFLOW -通过液压驱动实现生物打印的非侵入性流速反馈控制
Q1 Computer Science Pub Date : 2025-09-08 DOI: 10.1016/j.bprint.2025.e00435
Leon Budde , Julia Hundertmark , Tim Meyer , Thomas Seel , Daniel O.M. Weber
Bioprinting offers transformative potential for tissue engineering by enabling the precise fabrication of complex tissue constructs. Of the different bioprinting techniques, extrusion-based bioprinting is the most common, often relying on pneumatic actuation to extrude bioinks. Changes in the viscosity of the bioink, e.g., due to inhomogeneities in the ink or temperature changes in the printing environment, affect the extrusion flow rate if the pneumatic pressure is not adapted accordingly. While maintaining a constant flow rate improves the printing results significantly, continuous monitoring of the flow rate in combination with feedback control is required. Current systems rely on a flow rate sensor to directly measure the flow rate of the bioink, which negatively affects the bioink and requires frequent re-calibrations. To overcome these issues, we are using a hydraulic actuation fluid and implementing a flow rate feedback control based on the flow rate of the actuation fluid rather than the bioink itself. We integrated this concept of hydraulic actuation into our novel hydraulic bioextruder with real-time flow rate control called ”HYBERFLOW”. In this paper, we briefly present the design and our experimental validation of the system. Our experiments are aimed to determine whether the flow rate of the actuation fluid corresponds to the flow rate of the extrusion material, investigate the capabilities of the HYBERFLOW to achieve and maintain a desired flow rate with highly heterogeneous bioinks and determine the limits of the HYBERFLOW in terms of bioink viscosity and printing nozzle geometry. We found that the deviation in volume of the extruded bioink compared to the measured volume of the actuation fluid is less than 4%. This clearly shows the feasibility of controlling the flow rate of the bioink by controlling the flow rate of the actuation fluid. As a result, the flow rate sensor only needs to be in contact with actuation fluid, which is less sensitive and does not require the sensor to be re-calibrated due to its more consistent fluid properties. Furthermore, when extruding a bioink consisting of layers with different viscosities, the feedback control was able to maintain the desired flow rate, leading to a more consistent geometry of the printing result. In conclusion, HYBERFLOW enables real-time flow rate-controlled bioextrusions for improved printing outcomes without negatively affecting the bioink.
生物打印通过精确制造复杂的组织结构,为组织工程提供了变革性的潜力。在不同的生物打印技术中,基于挤压的生物打印是最常见的,通常依靠气动驱动来挤压生物墨水。生物油墨粘度的变化,例如,由于油墨的不均匀性或印刷环境的温度变化,如果没有相应地适应气动压力,则会影响挤出流速。虽然保持恒定的流量可以显著提高打印效果,但需要连续监测流量并结合反馈控制。目前的系统依赖于流速传感器来直接测量生物链的流速,这对生物链有负面影响,需要经常重新校准。为了克服这些问题,我们正在使用液压驱动液,并基于驱动液的流量而不是生物链本身实现流量反馈控制。我们将这种液压驱动的概念集成到我们的新型液压生物挤出机中,该挤出机具有实时流量控制功能,称为“HYBERFLOW”。在本文中,我们简要介绍了系统的设计和实验验证。我们的实验旨在确定驱动流体的流速是否与挤出材料的流速相对应,研究HYBERFLOW在高度非均质生物墨水中实现和保持所需流速的能力,并确定HYBERFLOW在生物墨水粘度和打印喷嘴几何形状方面的极限。我们发现,与驱动流体的测量体积相比,挤压生物链的体积偏差小于4%。这清楚地表明,通过控制驱动流体的流速来控制生物链的流速是可行的。因此,流量传感器只需要与驱动流体接触,由于其流体特性更一致,因此灵敏度较低,不需要重新校准传感器。此外,当挤出由不同粘度层组成的生物墨水时,反馈控制能够保持所需的流速,从而使打印结果具有更一致的几何形状。总之,HYBERFLOW能够实现实时流速控制的生物挤出,从而改善打印效果,而不会对生物链接产生负面影响。
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引用次数: 0
Exploring 4D printing for biomedical applications: Advancements, challenges, and future perspectives 探索生物医学应用的4D打印:进步,挑战和未来前景
Q1 Computer Science Pub Date : 2025-09-05 DOI: 10.1016/j.bprint.2025.e00436
Ermias Wubete Fenta , Ammar Alsheghri
4D printing is advanced additive manufacturing (AM) technology with transforming extension of traditional 3D printing that introduces the time dimension for material manufacturing to allow printed objects to change their shape, functionality, or properties with respect to specific external stimuli such as moisture, temperature, pH, or light. 4D printing relies on smart materials such as shape memory polymers (SMPs), hydrogels, liquid crystal elastomers (LCEs), etc. It possesses tremendous scope in biomedical applications, particularly tissue engineering, drug delivery systems, orthodontics, and diagnostic devices. By adopting smart materials and exquisite fabrication techniques, smart biomedical devices developed via 4D printing reply to changes in the physiological situation, increase therapeutic effectiveness, and promote favorable treatment outcomes. This review aims to study the state of the art on 4D printing in biomedical engineering covering fundamentals, materials, applications, challenges, and future perspectives. Nevertheless, many challenges remain such as material biocompatibility, printing resolution, and precise control over transformation kinetics. Future advancements, including AI-assisted design, machine learning optimization, new smart material developments, and high-resolution printing, promise to address these challenges, accelerating the shift toward precision medicine. Collectively, 4D printing demonstrated the ability to revolutionize biosciences for patient-specific, adaptive, and minimally invasive responses to healthcare.
4D打印是一种先进的增材制造(AM)技术,它改变了传统3D打印的延伸,引入了材料制造的时间维度,允许打印对象根据特定的外部刺激(如湿度、温度、pH值或光线)改变其形状、功能或特性。4D打印依赖于智能材料,如形状记忆聚合物(SMPs)、水凝胶、液晶弹性体(LCEs)等。它在生物医学应用方面具有巨大的应用范围,特别是组织工程,药物输送系统,正畸和诊断设备。通过采用智能材料和精湛的制造技术,4D打印开发的智能生物医学设备可以响应生理情况的变化,提高治疗效果,促进良好的治疗效果。本文综述了生物医学工程中4D打印的基本原理、材料、应用、挑战和未来展望。然而,许多挑战仍然存在,如材料的生物相容性,打印分辨率,以及对转化动力学的精确控制。未来的进步,包括人工智能辅助设计、机器学习优化、新型智能材料开发和高分辨率打印,有望解决这些挑战,加速向精准医疗的转变。总的来说,4D打印展示了彻底改变生物科学的能力,为患者提供特定的、适应性的和微创的医疗响应。
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引用次数: 0
AI-powered transformation of pharmaceutical 3D printing: enhancing precision, efficiency, and personalization ai驱动的医药3D打印转型:提高精度、效率和个性化
Q1 Computer Science Pub Date : 2025-09-03 DOI: 10.1016/j.bprint.2025.e00437
Riya Patel , Shivani Patel , Vanessa James , Yash Raj Singh , Vishruti Shah , Vishvjit Thakar , Bhupendra G. Prajapati
Cloud computing technologies and Internet of Things systems and artificial intelligence (AI) have brought major changes to pharmaceutical 3D printing by promoting new opportunities in designing drugs and manufacturing and personalized medicine delivery. Algorithmic processing through AI improves the modeling of drugs for computation and predicts formulation stability and detects real-time defects in printed dosage forms while boosting operational efficiency. Machine learning systems help optimize printing settings to achieve consistent results and reduce material waste across production batches. The use of artificial intelligence in pharmaceutical 3D printing needs overcoming three major challenges: regulatory hurdles, standards, and data privacy concerns. To overcome these problems, regulatory authorities, pharmaceutical researchers, and technology companies must collaborate to set standards for pharmaceutical data protection as well as compliance frameworks. AI-powered software solutions employ predictive analytics to do quality control in real time, reducing the amount of manufacturing failures. This article discusses regulatory obstacles, data security issues, and standards. Furthermore, identify research gaps so that academics can continue to work on AI-based 3D printing models. The application of AI enables pharmaceutical companies to boost operational efficiency and precision capabilities as well as innovative developments that lead to advanced drug therapies adjusted for individual patients alongside contemporary production methods.
云计算技术、物联网系统和人工智能(AI)为制药3D打印带来了重大变化,促进了药物设计、制造和个性化药物交付的新机遇。通过人工智能进行的算法处理改进了药物的计算建模,预测了配方的稳定性,并实时检测了打印剂型的缺陷,同时提高了操作效率。机器学习系统有助于优化打印设置,以实现一致的结果,并减少生产批次的材料浪费。人工智能在制药3D打印中的应用需要克服三大挑战:监管障碍、标准和数据隐私问题。为了克服这些问题,监管机构、制药研究人员和技术公司必须合作制定制药数据保护标准以及合规框架。人工智能驱动的软件解决方案采用预测分析进行实时质量控制,减少了制造故障的数量。本文讨论了监管障碍、数据安全问题和标准。此外,确定研究差距,以便学者可以继续研究基于人工智能的3D打印模型。人工智能的应用使制药公司能够提高运营效率和精确能力,以及创新开发,从而在现代生产方法的同时,为个体患者调整先进的药物疗法。
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引用次数: 0
Bioresorbable TPMS polymeric scaffolds for bone regeneration 用于骨再生的生物可吸收TPMS聚合物支架
Q1 Computer Science Pub Date : 2025-08-20 DOI: 10.1016/j.bprint.2025.e00433
Asiah Hatcher , Gary Brierly , Cedryck Vaquette , Reuben Staples , Omar Breik , Sašo Ivanovski , Martin D. Batstone , Danilo Carluccio
Bone tissue engineering (BTE) addresses limitations of traditional bone grafts by using synthetic scaffolds with or without growth factors to regenerate critical-sized defects. New generation scaffolds are produced with a biomimetic approach to simulate bone structure and support cellular functions. This review explores the potential of Triply Periodic Minimal Surface (TPMS) scaffolds made from bioresorbable polymers for BTE applications. TPMS scaffolds are designed to mimic the complex geometry of natural bone, offering a balance between mechanical strength and porosity that promotes nutrient flow and cell proliferation. This review discusses the limitations of traditional scaffold materials and fabrication methods, emphasising the advantages of additive manufacturing (AM) technologies in creating high-resolution, customisable scaffolds. The paper delves into the design principles, material choices, and clinical applications of TPMS scaffolds, with a focus on their mechanical and biological performance. It also addresses the challenges in manufacturing high-fidelity TPMS scaffolds and the need for further research to optimise their design for clinical use. The review concludes by outlining future directions for the development of TPMS scaffolds, aiming to improve their efficacy in bone regeneration and their potential for clinical translation.
骨组织工程(Bone tissue engineering, BTE)解决了传统骨移植的局限性,通过使用有或没有生长因子的合成支架来再生临界尺寸的缺陷。新一代支架采用仿生方法来模拟骨结构和支持细胞功能。本文综述了由生物可吸收聚合物制成的三周期最小表面(TPMS)支架在BTE应用中的潜力。TPMS支架旨在模仿天然骨的复杂几何形状,在机械强度和孔隙度之间提供平衡,促进营养物质流动和细胞增殖。本文讨论了传统支架材料和制造方法的局限性,强调了增材制造(AM)技术在制造高分辨率、可定制支架方面的优势。本文对TPMS支架的设计原则、材料选择和临床应用进行了深入的研究,重点介绍了TPMS支架的力学和生物学性能。它还解决了制造高保真TPMS支架的挑战,并需要进一步研究以优化其临床使用的设计。本文总结了TPMS支架的未来发展方向,旨在提高其在骨再生中的功效和临床应用潜力。
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引用次数: 0
Dual-crosslinkable gallol bioinks via pH-controlled oxidation and photocrosslinking with enhanced shear thinning and viscoelastic behavior 通过ph控制氧化和光交联的双交联加仑生物墨水,具有增强的剪切减薄和粘弹性行为
Q1 Computer Science Pub Date : 2025-08-14 DOI: 10.1016/j.bprint.2025.e00432
Hatai Jongprasitkul , Sanna Turunen , David A. Fulton , Minna Kellomäki , Vijay Singh Parihar
Our research work proposes a dual crosslinking approach to address the limitations of the gallol-mediated auto-oxidation approach in bioprinting, where rapid oxidative crosslinking can cause premature gelation, leading to clogging or printing failure. We enabled a gallol hydrogel ink to be printable via extrusion-based 3D bioprinting by utilizing its temporal shear-thinning properties. By raising the pH level, interactions between gallol-modified hyaluronic acid methacrylate (HAMA-GA) can be triggered to form a weak hydrogel. This feature provides injectability and extrudability for the hydrogels. Subsequent photocrosslinking results in indefinite oxidative crosslinking. The oxidative coupling in HAMA-GA was partially inhibited by UV light during the photocrosslinking step. As a result, the printed hydrogel formed a dual-crosslinked network containing both oxidative and photo-induced bonds, which contributed to enhanced structural stability over time. Our proposed approach addresses the challenges of gallol-mediated oxidation, including overgelation that hinders extrusion in 3D bioprinting, offering a promising solution for improved printability and shape fidelity. HAMA-GA ink was bioprintable at pH 5.5 using an extrusion-based 3D printer, showing cytocompatibility (∼95 % viability). This strategy is valuable for designing hydrogel inks with tunable properties for 3D bioprinting while maintaining tissue adhesive properties of gallol moieties.
我们的研究工作提出了一种双交联方法来解决生物打印中胆醇介导的自氧化方法的局限性,在生物打印中,快速的氧化交联可能导致过早凝胶化,导致堵塞或打印失败。我们通过利用其时间剪切变薄特性,使加仑水凝胶油墨能够通过基于挤出的3D生物打印进行打印。通过提高pH值,可以触发胆碱修饰的甲基丙烯酸透明质酸(HAMA-GA)之间的相互作用,形成弱水凝胶。这一特性为水凝胶提供了可注射性和可挤压性。随后的光交联导致不确定氧化交联。在光交联过程中,紫外光部分抑制了HAMA-GA的氧化偶联。结果,打印的水凝胶形成了包含氧化和光诱导键的双交联网络,随着时间的推移,这有助于增强结构稳定性。我们提出的方法解决了胆醇介导氧化的挑战,包括阻碍3D生物打印挤出的过凝胶,为提高打印性和形状保真度提供了一个有希望的解决方案。HAMA-GA墨水可在pH 5.5下使用基于挤压的3D打印机进行生物打印,显示出细胞相容性(约95%存活率)。这一策略对于设计具有可调性能的水凝胶油墨用于3D生物打印,同时保持加仑尔部分的组织粘附性能是有价值的。
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引用次数: 0
Advanced 3D printing and multiscale technologies (nano to macro) for personalized biomedical applications 用于个性化生物医学应用的先进3D打印和多尺度技术(纳米到宏观)
Q1 Computer Science Pub Date : 2025-07-31 DOI: 10.1016/j.bprint.2025.e00430
Saranya Balasubramaniyam, Thirumalaikumaran Rathinam, Mohanakrishnan Srinivasan, Karthikeyan Elumalai
The combination of 3D printing and nanotechnology is remodeling the field of biomedical innovation, opening up unprecedented levels of precision, personalization, and function in health care. 3D printing provides the capacity to print complex, patient-specific constructs, and nanotechnology extends this with dynamic biological interactions at the molecular scale to create smart implants, responsive drug delivery devices, and regenerative tissue scaffolds. This merging not only increases mechanical and biological compatibility but also encourages the development of multifunctional devices to monitor in real time, to treat selectively, and to exhibit bio responsive behaviour. Examples ranging from 3D-bioprinted organs to nanoengineered scaffolds and smart diagnostic biosensors show the ability to solve persistent organ transplantation, cancer therapy, and chronic disease management challenges. In addition, breakthroughs such as 4D printing and AI-driven nano-bio fabrication will be pushing the boundaries further by creating patient-driven, self-adaptive therapeutic platforms. But still, large technical, regulatory, and ethical hurdles have to be crossed in order to integrate on a large scale in a clinical manner. Nevertheless, synergistic convergence of nanotechnology and additive manufacturing bodes well for a shift toward highly personalized, predictive, and effective medical treatments. This review discusses the revolutionary contribution of 3D printing nanotechnology in reframing the future of medicine with focus on the pressing need for an interdisciplinary team approach to realize its full capability. The epoch of tailoring personalized therapies to the molecular level is no longer an elusive vision but a swiftly realising expectation capable of radically redefining the delivery and outcomes of care at a worldwide scale.
3D打印和纳米技术的结合正在重塑生物医学创新领域,在医疗保健领域开创了前所未有的精度、个性化和功能水平。3D打印提供了打印复杂的、患者特异性结构的能力,纳米技术通过分子尺度上的动态生物相互作用扩展了这一点,以创造智能植入物、反应性药物输送装置和再生组织支架。这种合并不仅增加了机械和生物相容性,而且鼓励了多功能设备的发展,以实时监测,选择性治疗,并表现出生物反应行为。从3d生物打印器官到纳米工程支架和智能诊断生物传感器的例子显示了解决持久性器官移植、癌症治疗和慢性疾病管理挑战的能力。此外,4D打印和人工智能驱动的纳米生物制造等突破将进一步推动患者驱动、自适应治疗平台的发展。但是,为了在临床中进行大规模的整合,还需要跨越巨大的技术、监管和伦理障碍。然而,纳米技术和增材制造的协同融合预示着高度个性化、可预测和有效的医疗手段的转变。这篇综述讨论了3D打印纳米技术在重塑医学未来方面的革命性贡献,重点是迫切需要一个跨学科的团队方法来实现其全部能力。从分子水平定制个性化治疗的时代不再是一个难以捉摸的愿景,而是一个迅速实现的期望,能够在全球范围内从根本上重新定义护理的交付和结果。
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引用次数: 0
Predicting printability in suspended bioprinting using a rheology-informed hierarchical machine learning approach 使用流变学信息分层机器学习方法预测悬浮生物打印的可打印性
Q1 Computer Science Pub Date : 2025-07-23 DOI: 10.1016/j.bprint.2025.e00427
Dageon Oh , Dasong Kim , Seung Yun Nam
Suspended bioprinting has emerged as a promising method for overcoming the limitations of conventional extrusion-based bioprinting, enabling the creation of complex tissue constructs with improved resolution and shape fidelity. This technique utilizes a support bath to preserve the structural integrity of bioinks during deposition, allowing for the precise printing of low-viscosity materials. However, optimizing printability remains a significant challenge due to the absence of standardized methods and the complex interactions between bioink properties, support bath characteristics, and printing parameters. This study introduces a novel approach integrating suspended bioprinting with a rheology-informed hierarchical machine learning (RIHML) model to predict key printability factors such as axial resolution, horizontal resolution, and z-axis positional errors. A comprehensive dataset was generated by varying rheological properties and printing conditions to train and validate the RIHML model. The results show that the RIHML model outperforms conventional machine learning models, including support vector regression and concentration-dependent model, in predictive accuracy. This approach addresses critical challenges in suspended bioprinting, offering a scalable solution for improving printability, enhancing cost-effectiveness, reducing time consumption, and boosting the precision and reproducibility of tissue-engineered scaffolds.
悬浮生物打印已经成为克服传统挤压生物打印局限性的一种有前途的方法,能够以更高的分辨率和形状保真度创建复杂的组织结构。该技术利用支撑槽在沉积过程中保持生物墨水的结构完整性,从而实现低粘度材料的精确打印。然而,优化打印性能仍然是一个重大的挑战,因为缺乏标准化的方法,以及生物墨水特性、支撑浴特性和打印参数之间复杂的相互作用。本研究引入了一种将悬浮生物打印与流变性分层机器学习(RIHML)模型相结合的新方法,以预测关键的打印性因素,如轴向分辨率、水平分辨率和z轴位置误差。通过改变流变特性和打印条件,生成了一个全面的数据集,以训练和验证RIHML模型。结果表明,RIHML模型在预测精度上优于传统的机器学习模型,包括支持向量回归和浓度依赖模型。该方法解决了悬浮生物打印中的关键挑战,为改善打印性、提高成本效益、减少时间消耗、提高组织工程支架的精度和可重复性提供了可扩展的解决方案。
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Bioprinting
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