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Genetic Risk in Insurance Field.
Bin, Paola; Capasso, Emanuele; Paternoster, Mariano; Fedeli, Piergiorgio; Policino, Fabio; Casella, Claudia; Conti, Adelaide.
Afiliação
  • Bin P; Department of Surgery, Radiology and Public Health, Public Health and Humanities Section, University of Brescia - Centre of Bioethics Research (with the contribution of IRCCS "S. Giovanni di Dio - Fatebenefratelli"), Italy. P.le Spedali Civili, 1, 25123, Brescia, Italy.
  • Capasso E; Department of Advanced Biomedical Sciences, University of Naples Federico II. Via Sergio Pansini 5, 80131, Naples, Italy.
  • Paternoster M; Department of Advanced Biomedical Sciences, University of Naples Federico II. Via Sergio Pansini 5, 80131, Naples, Italy.
  • Fedeli P; Jurisprudence School, University of Camerino, Via A. D'Accorso 16, 62032, Camerino (MC), Italy.
  • Policino F; Department of Advanced Biomedical Sciences, University of Naples Federico II. Via Sergio Pansini 5, 80131, Naples, Italy.
  • Casella C; Department of Advanced Biomedical Sciences, University of Naples Federico II, Section of Legal Medicine, Via Sergio Pansini 5, 80131, Naples, Italy.
  • Conti A; Department of Surgery, Radiology and Public Health, Public Health and Humanities Section, University of Brescia - Centre of Bioethics Research (with the contribution of IRCCS "S. Giovanni di Dio - Fatebenefratelli"), Italy. P.le Spedali Civili, 1, 25123, Brescia, Italy.
Open Med (Wars) ; 13: 294-297, 2018.
Article em En | MEDLINE | ID: mdl-30155519
The risk-delimiting tools available to insurance companies are therefore substantial and it is also possible to argue that a margin of uncertainty is a natural component of the insurance contract. Despite this, businesses look at the potential of predictive medicine, and in particular the growing understanding of genetic mechanisms that support many common diseases. In particular, the rapid development of genetics has led many insurance companies to glimpse in the predictive diagnosis of disease by genetic testing the possibility of extending the calculation of the individual risk of developing a particular disease to appropriate premiums or even denying insurance coverage.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article