Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning.
Journal:
Molecules (Basel, Switzerland)
PMID:
30893786
Abstract
BACKGROUND: Improved outcome prediction is vital for the delivery of risk-adjusted, appropriate and effective care to paediatric patients with Ewing sarcoma-the second most common paediatric malignant bone tumour. Fourier transform infrared (FTIR) spectroscopy of tissues allows the bulk biochemical content of a biological sample to be probed and makes possible the study and diagnosis of disease.