Raman microspectroscopy and machine learning for use in identifying radiation-induced lung toxicity

HIGHLIGHTS

  • who: Ramie N. Ali-Adeeb et al. from the Department of Physics, The University of British Columbia, Okanagan campus, Kelowna, BC, Canada have published the Article: Raman microspectroscopy and machine learning for use in identifying radiation-induced lung toxicity, in the Journal: PLOS ONE of September/21,/2021
  • what: The authors explore and develop a method that uses Raman spectroscopy to measure and differentiate radiation induced toxicity in murine lungs with the goal of setting the foundation for a predictive disease model. In this manuscript, the authors investigate the utility of RS for use in . . .

     

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