Digital Twin: A Future Health Challenge in Prevention, Early Diagnosis and Personalisation of Medical Care in Paediatrics

• Published in: International journal of environmental research and public health Vol. 20; no. 3; p. 2181
• Main Authors: Calcaterra, Valeria, Pagani, Valter, Zuccotti, Gianvincenzo
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 25.01.2023; MDPI
• Subjects: Artificial intelligence; Asthma; Child; Chronic illnesses; Comorbidity; Conflicts of interest; Decision making; Delivery of Health Care; Digital twins; Disease prevention; Early Diagnosis; Ethics; Graph representations; Health care; Humans; Interdisciplinary aspects; Machine learning; Medicine; Obesity; Outdoor air quality; Patient Care Planning; Pediatrics; Precision Medicine; Public health; Rare diseases; Weight control

In childhood asthma, likewise, where different determinants of asthma symptoms need to be considered, including the treatment and the environment (pollutants, allergens, weather), DTS could be used to define the appropriate treatment in real time and/or to adopt the appropriate mitigation measures i...