An infrared spectral biomarker accurately predicts neurodegenerative disease class in the absence of overt symptoms

HIGHLIGHTS

• who: Lila Lovergne from the DivisionUniversity of have published the research work: An infrared spectral biomarker accurately predicts neurodegenerative disease class in the absence of overt symptoms, in the Journal: Scientific Reports Scientific Reports
• what: The authors show that the spectral imaging approach reproducibly and reliably predicts control or disease classification using an FTIR signature as a biomarker. The authors propose that spectral phenotyping will provide a mechanism to detect and track even subtle changes in a cell's chemical states with high probability at early stages of disease progression. The authors show here that . . .
  

   

  

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