Researchers develop a novel system using standing surface acoustic waves to separate circulating tumor cells (CTCs) from red blood cells with unprecedented precision and efficiency. The platform integrates computational modeling, experimental analysis, and AI algorithms to analyze complex acoustofluidic phenomena.
Researchers propose a novel system that uses standing surface acoustic waves to separate circulating tumor cells from red blood cells with unprecedented precision and efficiency. The platform integrates advanced computational modeling, experimental analysis, and artificial intelligence algorithms to analyze complex acoustofluidic phenomena.
It is inherently difficult to separate controllable target cells to examine. Traditional methods typically require elaborate sample preparation, substantial equipment, and large sample volumes -- and even then, it is not easy to efficiently separate the cells in question., by AIP Publishing, a pair of researchers at the K. N.
As various ways of enriching particles through microfluidics have emerged, those that employ acoustofluidics are especially promising because they are biocompatible, generate high-force magnitudes at MPa pressure ranges, and produce cell-scale wavelengths. "We have produced an advanced, lab-on-chip platform that enables real-time, energy-efficient, and highly accurate cell separation," said Kouhkord."The technology promises to improve CTC separation efficiency and open new possibilities for earlier and more effective cancer diagnosis. It also paves the way for microengineering and applied AI in personalized medicine and cancer diagnostics.
CAN CER DIAGNOSIS ACOUSTOFLUIDICS ARTIFICIAL INTELLIGENCE CIRCULATING TUMOR CELLS MICROFLUIDICS
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