Microelectromechanical Organs-on-Chip

Mastrangeli, Massimo; Aydogmus, Hande; Dostanic, Milica; Motreuil-Ragot, Paul; Revyn, Nele; Wagenaar, Bjorn de; Dekker, R.; Sarro, P.M.

doi:10.1109/transducers50396.2021.9495646

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…This report also stated that OoCs further require standardization at both technical and biological levels and that investment in training in aspects of both regulatory and biomedical research is essential. More recently, initiatives on the standardization of OoC have been taking place (Mastrangeli & van den Eijnden-van Raaij, 2021; Piergiovanni et al, 2021) such as the European consortium Moore4medical.eu developing open technology platforms (Mastrangeli et al, 2021). The WelcomeLeap foundation also launched the Hope program aiming at funding the development of organ platforms and connections.…”

Section: Discussionmentioning

confidence: 99%

Training the next generation of researchers in the Organ-on-Chip field

Moruzzi

Shroff

Keller

et al. 2022

Preprint

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Organ-on-chip (OoC) technology bridges the principles of biology and engineering to create a new generation of in vitro models and involves highly interdisciplinary collaboration across STEM disciplines. Training the next generation of scientists, technicians and policy makers is a challenge that requires a tailored effort. To promote the qualification, usability, uptake and long-term development of OoC technology, we designed a questionnaire to evaluate the key aspects for training, identify the major stakeholders to be trained, their professional level and specific skillset. The 151 respondents unanimously agreed on the need to train the next generation of OoC researchers and that the training should be provided early, in interdisciplinary subjects and throughout the researchers' career. We identified two key training priorities: (i) training scientists with a biology background in microfabrication and microfluidics principles and (ii) training OoC developers in pharmacology/toxicology. This makes training in OoC a transdisciplinary challenge rather than an interdisciplinary one. The data acquired and analyzed here serves to guide training initiatives for preparing competent and transdisciplinary researchers, capable of assuring the successful development and application of OoC technologies in academic research, pharmaceutical/chemical/cosmetic industries, personalized medicine and clinical trials on chip.

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Section: Discussionmentioning

confidence: 99%

Training the next generation of researchers in the Organ-on-Chip field

Moruzzi

Shroff

Keller

et al. 2022

Preprint

View full text Add to dashboard Cite

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Neural network execution using nicked DNA and microfluidics

Solanki,

Griffin,

Sutradhar

et al. 2023

PLoS ONE

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DNA has been discussed as a potential medium for data storage. Potentially it could be denser, could consume less energy, and could be more durable than conventional storage media such as hard drives, solid-state storage, and optical media. However, performing computations on the data stored in DNA is a largely unexplored challenge. This paper proposes an integrated circuit (IC) based on microfluidics that can perform complex operations such as artificial neural network (ANN) computation on data stored in DNA. We envision such a system to be suitable for highly dense, throughput-demanding bio-compatible applications such as an intelligent Organ-on-Chip or other biomedical applications that may not be latency-critical. It computes entirely in the molecular domain without converting data to electrical form, making it a form of in-memory computing on DNA. The computation is achieved by topologically modifying DNA strands through the use of enzymes called nickases. A novel scheme is proposed for representing data stochastically through the concentration of the DNA molecules that are nicked at specific sites. The paper provides details of the biochemical design, as well as the design, layout, and operation of the microfluidics device. Benchmarks are reported on the performance of neural network computation.

show abstract

Training the Next Generation of Researchers in the Organ-on-Chip Field

et al. 2023

View full text Add to dashboard Cite

Organ-on-chip (OoC) technology bridges the principles of biology and engineering to create a new generation of in vitro models and involves highly interdisciplinary collaboration across STEM disciplines. Training the next generation of scientists, technicians and policy makers is a challenge that requires a tailored effort. To promote the qualification, usability, uptake and long-term development of OoC technology, we designed a questionnaire to evaluate the key aspects for training, identify the major stakeholders to be trained, their professional level and specific skillset. The 151 respondents unanimously agreed on the need to train the next generation of OoC researchers and that the training should be provided early, in interdisciplinary subjects and throughout the researchers’ career. We identified two key training priorities: (i) training scientists with a biology background in microfabrication and microfluidics principles and (ii) training OoC developers in pharmacology/toxicology. This makes training in OoC a transdisciplinary challenge rather than an interdisciplinary one. The data acquired and analyzed here serves to guide training initiatives for preparing competent and transdisciplinary researchers, capable of assuring the successful development and application of OoC technologies in academic research, pharmaceutical/chemical/cosmetic industries, personalized medicine and clinical trials on chip.

show abstract

Microelectromechanical Organs-on-Chip

Cited by 3 publications

References 34 publications

Training the next generation of researchers in the Organ-on-Chip field

Training the next generation of researchers in the Organ-on-Chip field

Neural network execution using nicked DNA and microfluidics

Training the Next Generation of Researchers in the Organ-on-Chip Field

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