Abstract: Disclosed are approaches to acquiring a “disease fingerprint” from biosamples by collecting large data sets of physicochemical interactions to a sensor array composed of organic color center-modified carbon nanotubes. Array responses from subjects may be used to train and validate machine learning models to differentiate diseases and healthy individuals. The trained learning models may be used to subsequently classify patients based on nanosensor array emission data.