Join us for a research presentation and discussion with Prof. Anand Jagota. This talk will describe a novel approach proposed by a team working on the detection and quantification of multiple biomarkers in biofluids for disease diagnosis using an artificial perception system we call a Molecular Perceptron (MP). At its core, the MP comprises an optimally selected collection of hybrid nanomaterials – a nanosensor array –interrogated by high-throughput spectroscopy. The nanosensor array elements are drawn from the DNA-single wall carbon nanotube (SWCNT) family. We apply machine learning methods both for selection of hybrids for the nanosensor array and to relate spectroscopic features to the presence of biomarkers.

Event Details

  • Sajedehalsadat Yazdanparast Tafti
  • Jiajun Wang

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