Integrated technologies for continuous monitoring of organs-on-chips: Current challenges and potential solutions

Río, Jonathan Sabaté del; Ro, Jooyoung; Yoon, Heejeong; Cho, Yoon‐Kyoung

doi:10.1016/j.bios.2022.115057

Cited by 23 publications

(10 citation statements)

References 171 publications

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“…Despite significant advances, the integration of sensing technologies into OoC still has some challenges. For instance, the limit of detection (LOD) for some sensors may not be appropriate for low-concentration analytes, possibly affecting the sensitivity and specificity of assays (Sabaté del Río et al, 2023). Another significant challenge regards sensor stability over time, which may be compromised by chemical degradation or passivation due to biofouling (Sabaté del Río et al, 2023).…”

Section: Resolving High-content Data From Multisensors and Imaging Mo...mentioning

confidence: 99%

“…For instance, the limit of detection (LOD) for some sensors may not be appropriate for low-concentration analytes, possibly affecting the sensitivity and specificity of assays (Sabaté del Río et al, 2023). Another significant challenge regards sensor stability over time, which may be compromised by chemical degradation or passivation due to biofouling (Sabaté del Río et al, 2023). Overall, these challenges highlight the continuous need for innovative solutions and approaches to balance simplification and the integration of advanced technologies in current industrial and pre-clinical applications.…”

Section: Resolving High-content Data From Multisensors and Imaging Mo...mentioning

confidence: 99%

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Guiding organs-on-chips towards applications: a balancing act between integration of advanced technologies and standardization

Meneses,

Conceição,

van der Meer

et al. 2024

Front. Lab. Chip. Technol.

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Organs-on-chips (OoC) are in vitro models that emulate key functionalities of tissues or organs in a miniaturized and highly controlled manner. Due to their high versatility, OoC have evolved as promising alternatives to animal testing for a more effective drug development pipeline. Additionally, OoC are revealing increased predictive power for toxicity screening applications as well as (patho-) physiology research models. It is anticipated that enabling technologies such as biofabrication, multimodality imaging, and artificial intelligence will play a critical role in the development of the next generation of OoC. These domains are expected to increase the mimicry of the human micro-physiology and functionality, enhance screening of cellular events, and generate high-content data for improved prediction. Although exponentially growing, the OoC field will strongly benefit from standardized tools to upgrade its implementational power. The complexity derived from the integration of multiple technologies and the current absence of concrete guidelines for establishing standards may be the reason for the slower adoption of OoC by industry, despite the fast progress of the field. Therefore, we argue that it is essential to consider standardization early on when using new enabling technologies, and we provide examples to illustrate how to maintain a focus on technology standards as these new technologies are used to build innovative OoC applications. Moreover, we stress the importance of informed design, use, and analysis decisions. Finally, we argue that this early focus on standards in innovation for OoC will facilitate their implementation.

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Section: Resolving High-content Data From Multisensors and Imaging Mo...mentioning

confidence: 99%

Section: Resolving High-content Data From Multisensors and Imaging Mo...mentioning

confidence: 99%

Guiding organs-on-chips towards applications: a balancing act between integration of advanced technologies and standardization

Meneses,

Conceição,

van der Meer

et al. 2024

Front. Lab. Chip. Technol.

View full text Add to dashboard Cite

show abstract

“…Importantly, all these real-time and continuously collected data could be combined with AI-based data processing for studying and optimizing closed-loop feedback-based experimental parameters. Eventually, the system will be able to automatically regulate and control various functional parameters of OoCs, achieving the development of intelligent OoCs 62 , 241 .…”

Section: Integration Ooc Technology With Artificial Intelligencementioning

confidence: 99%

Organ-on-a-chip meets artificial intelligence in drug evaluation

Deng,

Li,

Cao

et al. 2023

Theranostics

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Drug evaluation has always been an important area of research in the pharmaceutical industry. However, animal welfare protection and other shortcomings of traditional drug development models pose obstacles and challenges to drug evaluation. Organ-on-a-chip (OoC) technology, which simulates human organs on a chip of the physiological environment and functionality, and with high fidelity reproduction organ-level of physiology or pathophysiology, exhibits great promise for innovating the drug development pipeline. Meanwhile, the advancement in artificial intelligence (AI) provides more improvements for the design and data processing of OoCs. Here, we review the current progress that has been made to generate OoC platforms, and how human single and multi-OoCs have been used in applications, including drug testing, disease modeling, and personalized medicine. Moreover, we discuss issues facing the field, such as large data processing and reproducibility, and point to the integration of OoCs and AI in data analysis and automation, which is of great benefit in future drug evaluation. Finally, we look forward to the opportunities and challenges faced by the coupling of OoCs and AI. In summary, advancements in OoCs development, and future combinations with AI, will eventually break the current state of drug evaluation.

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“…Recently, many comprehensive reviews have been composed on the suitable sensor technologies for MPS systems, either aiming for a general overview ( Modena et al, 2018 ; Young et al, 2019 ; Clarke et al, 2021 ; Sabaté del Río et al, 2023 ), or focusing on particular technological subsets such as biosensors ( Senutovitch et al, 2015 ; Kratz et al, 2019 ; Ferrari et al, 2020 ; Mou et al, 2022 ; Rothbauer and Ertl, 2022 ), or electro-optical technologies ( Kavand et al, 2022 ) or technical challenges in sensor fabrication and integration ( Fuchs et al, 2021 ). Cardiac MPS–being electrically, mechanically and biochemically active–provides an attractive field for many complementing sensor technologies and, as such, would deserve a dedicated review paper.…”

Section: Functional Measurementsmentioning

confidence: 99%

Building blocks of microphysiological system to model physiology and pathophysiology of human heart

et al. 2023

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Microphysiological systems (MPS) are drawing increasing interest from academia and from biomedical industry due to their improved capability to capture human physiology. MPS offer an advanced in vitro platform that can be used to study human organ and tissue level functions in health and in diseased states more accurately than traditional single cell cultures or even animal models. Key features in MPS include microenvironmental control and monitoring as well as high biological complexity of the target tissue. To reach these qualities, cross-disciplinary collaboration from multiple fields of science is required to build MPS. Here, we review different areas of expertise and describe essential building blocks of heart MPS including relevant cardiac cell types, supporting matrix, mechanical stimulation, functional measurements, and computational modelling. The review presents current methods in cardiac MPS and provides insights for future MPS development with improved recapitulation of human physiology.

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Integrated technologies for continuous monitoring of organs-on-chips: Current challenges and potential solutions

Cited by 23 publications

References 171 publications

Guiding organs-on-chips towards applications: a balancing act between integration of advanced technologies and standardization

Guiding organs-on-chips towards applications: a balancing act between integration of advanced technologies and standardization

Organ-on-a-chip meets artificial intelligence in drug evaluation

Building blocks of microphysiological system to model physiology and pathophysiology of human heart

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