Georgia Tech
The test uses mass spectrometry and artificial intelligence to look for patterns of metabolites in a patient's serum that may indicate ovarian cancer.
Using laminated tape and ink, the researchers were able to control the capillary flow of fluids to make more complex tests.
The platform detected clinically relevant concentrations of zinc, a biomarker for a nutritional deficiency that kills 100,000 children under the age of 5 worldwide each year.
The biological activity sensors in development consist of nanoparticles conjugated with a peptide substrate produce fluorescence in urine associated with immunotherapy response.