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AI, Microfluidics, Nanoparticle Printing Combined to Analyze Cancer Cells

A team of electrical engineers, computer scientists, and biomedical engineers at the University of California-Irvine report that they have created a new lab-on-a-chip that can help study tumor heterogeneity to reduce resistance to cancer therapies.

In a paper “A Machine Learning‐Assisted Nanoparticle‐Printed Biochip for Real‐Time Single Cancer Cell Analysis” published in Advanced Biosystems, the researchers describe how they combined artificial intelligence, microfluidics, and nanoparticle inkjet printing in a device that enables the examination and differentiation of cancers and healthy tissues at the single-cell level.

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