Nmr spectroscopy combined with machine learning approaches for age prediction in healthy and parkinson’s disease cohorts through metabolomic fingerprints

HIGHLIGHTS

• who: Giovanna Maria Dimitri and collaborators from the Siena, Siena, Italy Department of Computer Science and Technology, University of Cambridge, Cambridge , FD, UK have published the research work: NMR Spectroscopy Combined with Machine Learning Approaches for Age Prediction in Healthy and Parkinsonu2019s Disease Cohorts through Metabolomic Fingerprints, in the Journal: (JOURNAL)
• what: The authors introduced several novelties. In the present study, a total of 675 serum samples were collected from individuals belonging to 4 different PROPAG-AGEING cohorts, including healthy subjects (Hs), centenarians (Cent) and their offspring (CentOs), siblings of PD patients (only siblings with . . .
  

   

  

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