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Health Digital Twins in Life Science and Health Care Innovation.
Venkatesh, Kaushik P; Brito, Gabriel; Kamel Boulos, Maged N.
Afiliação
  • Venkatesh KP; Harvard Medical School, Boston, Massachusetts, USA.
  • Brito G; Harvard Medical School, Boston, Massachusetts, USA.
  • Kamel Boulos MN; School of Medicine, University of Lisbon, Lisbon, Portugal; email: mnkboulos@ieee.org.
Annu Rev Pharmacol Toxicol ; 64: 159-170, 2024 Jan 23.
Article em En | MEDLINE | ID: mdl-37562495
ABSTRACT
Health digital twins (HDTs) are virtual representations of real individuals that can be used to simulate human physiology, disease, and drug effects. HDTs can be used to improve drug discovery and development by providing a data-driven approach to inform target selection, drug delivery, and design of clinical trials. HDTs also offer new applications into precision therapies and clinical decision making. The deployment of HDTs at scale could bring a precision approach to public health monitoring and intervention. Next steps include challenges such as addressing socioeconomic barriers and ensuring the representativeness of the technology based on the training and validation data sets. Governance and regulation of HDT technology are still in the early stages.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Disciplinas das Ciências Biológicas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Annu Rev Pharmacol Toxicol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Disciplinas das Ciências Biológicas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Annu Rev Pharmacol Toxicol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos