ArticleBiomicrofluidics2017
Automatic optimization of drug cocktails on an integrated microfluidic system.
Article in Biomicrofluidics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug cocktails have been popular for a variety of therapies of complicated diseases. Nevertheless, it is a tediously challenging task to optimize formulations, especially using traditional methods. Hence, an automatic system capable of precise dispensing multiple drugs is of great need. Herein, a new integrated microfluidic system combined with a two-axis traverse module was developed to dispense and mix a small amount of drug combination precisely and automatically. This on-chip dispensing process could be performed with a precise and accurate manner when compared to the manual operations. The efficacy of both single and multiple drugs could be examined through the developed microfluidic system with extremely low variation of drug formulations. Analysis of cell viabilities for normal and tumor cells was also performed to verify potential drug combinations. It is envisioned that this automatic system, which is flexible to combine with standard cell analysis methods and novel drug formulation algorithm, could provide precise and high-throughput drug cocktail formulations and expedite the drug screening processes.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.