Their machine learning technology coupled with digital holography produced an 84 percent success rate in predicting canine responses to chemotherapy.
By pressing on a piece of paper, a user could power up the test and potentially apply it in a remote location, the researchers said.
The researchers said that they are developing a fiber probe that could generate a Bessel beam that could be inserted into arteries to obtain internal images.
The method uses graphene-coated silica particles fused to complementary RNA to register impedance changes in the presence of viruses.
The ASPIRE algorithm uses cell phenotype information from bone marrow samples to predict which patients will relapse and which will go into remission.