Parkinson's disease motor and non motor symptoms could be traced through sensors embedded in wearables. Signals from wearables should be interpreted and made clinically available. The use of derived digital biomarkers allows the more ecological research to be used in event prediction and clinical trials even in complex settings such as neurodegenerative diseases.

From the disease phenotype to the clinical actionable information: the digital revolution of Parkinson's disease / Massimo Marano , 2022 Jun 15. 34. ciclo

From the disease phenotype to the clinical actionable information: the digital revolution of Parkinson's disease

2022-06-15

Abstract

Parkinson's disease motor and non motor symptoms could be traced through sensors embedded in wearables. Signals from wearables should be interpreted and made clinically available. The use of derived digital biomarkers allows the more ecological research to be used in event prediction and clinical trials even in complex settings such as neurodegenerative diseases.
15-giu-2022
Parkinson's disease
From the disease phenotype to the clinical actionable information: the digital revolution of Parkinson's disease / Massimo Marano , 2022 Jun 15. 34. ciclo
File in questo prodotto:
File Dimensione Formato  
DT_304_MaranoMassimo.pdf

accesso aperto

Tipologia: Tesi di dottorato
Licenza: Creative commons
Dimensione 2.82 MB
Formato Adobe PDF
2.82 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12610/68736
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact