In a recent study posted to the Preprints with The Lancet SSRN server, a team of researchers in China developed a machine learning-based diagnostic tool to detect tuberculosis and drug-resistant tuberculosis using nanoparticle-enhanced laser desorption/ionization mass spectrometry (NPELDI MS) to determine metabolic fingerprints from serum samples.