ArticleLab on a chip2019
A platform for artificial intelligence based identification of the extravasation potential of cancer cells into the brain metastatic niche.
Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 52 citations in OpenAlex.
- AI-integrated microfluidics for drug screening: From single cell to organ-on-a-chip.Acta pharmaceutica Sinica. B · 2026Review
- Cancer metastasisFrontiers in bioengineering and biotechnology · 2026Review
- Lung cancer intravasation-on-a-chip: Visualization and machine learning-assisted automatic quantification.Bioactive materials · 2025Article
- Review
- Advanced In Vitro Models for Preclinical Drug Safety: Recent Progress and Prospects.Current issues in molecular biology · 2024Review
- Role of Machine Learning Assisted Biosensors in Point-of-Care-Testing For Clinical Decisions.ACS sensors · 2024Review
- Progress and application of lung-on-a-chip for lung cancer.Frontiers in bioengineering and biotechnology · 2024Review
- Use and application of organ-on-a-chip platforms in cancer research.Journal of cell communication and signaling · 2023Review
- Artificial intelligence: opportunities and challenges in the clinical applications of triple-negative breast cancer.British journal of cancer · 2023Review
- Microsystem Advances through Integration with Artificial Intelligence.Micromachines · 2023Review
- Blood-brain barrier remodeling in an organ-on-a-chip device shows Dkk1 to be a regulator of early metastasis.Advanced nanobiomed research · 2023Article
- Computer vision meets microfluidics: a label-free method for high-throughput cell analysis.Microsystems & nanoengineering · 2023Review
- Organ-on-a-chip meets artificial intelligence in drug evaluation.Theranostics · 2023Review
- Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?Nano today · 2022Article
- Review
- Organ on Chip Technology to Model Cancer Growth and Metastasis.Bioengineering (Basel, Switzerland) · 2022Review
- Association of Underweight and Weight Loss With Poor Prognosis and Poor Therapy Effectiveness in Brain Metastases: A Retrospective Study.Frontiers in nutrition · 2022Article
- Advanced Human BBB-on-a-Chip: A New Platform for Alzheimer's Disease Studies.Advanced healthcare materials · 2021Review
- Organs-on-chips: into the next decade.Nature reviews. Drug discovery · 2021Review
- Review
Corrections and comments
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
Abstract
Brain metastases are the most lethal complication of advanced cancer; therefore, it is critical to identify when a tumor has the potential to metastasize to the brain. There are currently no interventions that shed light on the potential of primary tumors to metastasize to the brain. We constructed and tested a platform to quantitatively profile the dynamic phenotypes of cancer cells from aggressive triple negative breast cancer cell lines and patient derived xenografts (PDXs), generated from a primary tumor and brain metastases from tumors of diverse organs of origin. Combining an advanced live cell imaging algorithm and artificial intelligence, we profile cancer cell extravasation within a microfluidic blood-brain niche (μBBN) chip, to detect the minute differences between cells with brain metastatic potential and those without with a PPV of 0.91 in the context of this study. The results show remarkably sharp and reproducible distinction between cells that do and those which do not metastasize inside of the device.
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What OpenQuestion holds
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.