Design and validation of a flowless gradient generating microfluidic device for high-throughput drug testing

Bachal, Ketaki; Yadav, Shital; Gandhi, Prasanna S.; Majumder, Abhijit

doi:10.1039/d2lc00879c

Cited by 10 publications

(3 citation statements)

References 31 publications

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“…At present, tumor OoCs also include colorectal 55 , 140 , ovarian 141 , 142 , prostate 143 , 144 , bladder 145 , 146 , cervical 147 , 148 , gastric 56 , 149 , and skin 150 , 151 cancer. As described, tumor OoCs have the capacity to reconstruct major tumor microenvironment characteristics and have great potential to study the mechanisms of tumor development, screen anticancer drugs, and evaluate cancer therapeutics, as well as toward precision medicine.…”

Section: The Application Of Single-organ-on-a-chip In Drug Evaluationmentioning

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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Section: The Application Of Single-organ-on-a-chip In Drug Evaluationmentioning

confidence: 99%

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

Deng,

Li,

Cao

et al. 2023

Theranostics

View full text Add to dashboard Cite

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“…This eld has experienced rapid growth due to its potential to revolutionize laboratory techniques by reducing sample volumes, enabling faster and more sensitive reactions, separations, and detections at a fraction of the usual time and cost. Micro uidics has the potential to be used in many different areas including high-throughput drug screening (Bachal et al 2023;Gerlach et al 2002), analysis and manipulation of single cells or molecules ), drug delivery and advanced therapeutics (Gholizadeh et al 2022), bio-sensing (Raji et Meng et al 2022). Micro uidic single-cell analysis systems necessitate technological solutions for tasks such as counting, trapping, focusing, separating, sorting, characterizing, and identifying individual cells (Sun et al 2010;Chao et al 2008;Brown et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Integrating Optical and Electrical Sensing with Machine Learning for Advanced Particle Characterization

Kokabi,

Tayyab,

Rather

et al. 2024

Preprint

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Particle classification plays a crucial role in various scientific and technological applications, such as differentiating between bacteria and viruses in healthcare applications or identifying and classifying cancer cells. This technique requires accurate and efficient analysis of particle properties. In this study, we investigated the integration of electrical and optical features through a multimodal approach for particle classification. Machine learning classifier algorithms were applied to evaluate the impact of combining these measurements. Our results demonstrate the superiority of the multimodal approach over analyzing electrical or optical features independently. We achieved an average test accuracy of 94.9% by integrating both modalities, compared to 66.4% for electrical features alone and 90.7% for optical features alone. This highlights the complementary nature of electrical and optical information and its potential for enhancing classification performance. By leveraging electrical sensing and optical imaging techniques, our multimodal approach provides deeper insights into particle properties and offers a more comprehensive understanding of complex biological systems.

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“…[22][23][24] In contrast, microfluidics, as a syncretizing of science and technology, has been demonstrated as an advanced approach to accurately control the liquid flow in microchannels compared with other technologies. [25][26][27][28][29][30] Due to its flexibility of chip design, microfibers with diverse structures and compositions can be achieved by using microfluidic spinning stratagem. [31][32][33][34] Therefore, it is conceivable that by integrating prolamins and microfluidics, hydrogel microfibers with biopolymer components and controllable microstructure would create a remarkable medical patch for wound healing.…”

Section: Introductionmentioning

confidence: 99%

Biopolymer‐Assembled Porous Hydrogel Microfibers from Microfluidic Spinning for Wound Healing

Wang,

Guo,

Luo

et al. 2023

Adv Healthcare Materials

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Hydrogels are considered as a promising medical patch for wound healing. Researches in this aspect are focused on improving their compositions and permeability to enhance the effectiveness of wound healing. Here, novel prolamins‐assembled porous hydrogel microfibers with the desired merits for treating diabetes wounds are presented. Such microfibers are continuously generated by one‐step microfluidic spinning technology with acetic acid solution of prolamins as the continuous phase and deionized water as the dispersed phase. By adjusting the prolamin concentration and flow rates of microfluidics, the porous structure and morphology as well as diameters of microfibers can be well tailored. Owing to their porosity, the resultant microfibers can be employed as flexible delivery systems for wound healing actives, such as bacitracin and vascular endothelial growth factor (VEGF). It is demonstrated that the resultant hydrogel microfibers are with good cell‐affinity and effective drug release efficiency, and their woven patches display superior in vivo capability in treating diabetes wounds. Thus, it is believed that the proposed prolamins‐assembled porous hydrogel microfibers will show important values in clinic wound treatments.

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Design and validation of a flowless gradient generating microfluidic device for high-throughput drug testing

Abstract: Drug testing is a vital step in identification of the potential efficacy of any new/existing drug and/or combinations of drugs. The conventional methods of testing the efficacy of new drugs...

Cited by 10 publications

References 31 publications

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

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

Integrating Optical and Electrical Sensing with Machine Learning for Advanced Particle Characterization

Biopolymer‐Assembled Porous Hydrogel Microfibers from Microfluidic Spinning for Wound Healing

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