Matteo Mongelli
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Matteo Mongelli has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Andrea Bernagozzi
Osservatorio Astronomico della Regione Autonoma Valle d’Aosta
1 shared publication - Andrea Cavalli
Computational and Chemical Biology, Istituto Italiano di Tecnologia, Genova, Italy
1 shared publication - Arianna De Arcangelis
CMP3VdA, Istituto Italiano di Tecnologia (IIT), Via Lavoratori Vittime del Col du Mont, 28, 11100 Aosta, Italy
1 shared publication - Biagio De Angelis
CMP3VdA, Istituto Italiano di Tecnologia (IIT), Via Lavoratori Vittime del Col du Mont, 28, 11100 Aosta, Italy
1 shared publication - Chiara Beatrice Salvemini
CMP3VdA, Istituto Italiano di Tecnologia (IIT), Via Lavoratori Vittime del Col du Mont, 28, 11100 Aosta, Italy
1 shared publication - Giuliano Greco
Communication and External Relations Directorate, Istituto Italiano di Tecnologia (IIT), Via Morego 30, 16163 Genova, Italy
1 shared publication
Latest Publications
- Open Access
- 24 February 2025
- Published by MDPI AG in Journal of Personalized Medicine
- Vol. 15 (3) , 80
The Public Knowledge of Precision Medicine and Genomic Research: A Survey in the Aosta Valley
Background: Precision medicine (PM) considers the genetic variability of individuals to identify tailored diagnosis and treatments. It relies on the possibility of gathering the widest possible health data and genetic information from individuals to obtain a broad pool of comparative data. To achieve this goal, the Region of Valle d’Aosta, since 2019, has co-financed the research center CMP3VdA, aiming to sequence 5000 genomes of patients with neurodevelopmental, neurodegenerative, oncological, and organ transplantation diseases, and to investigate the genetic variability of the resident population. Methods: This paper presents the results of an online survey of 472 (328F) respondents regarding willingness to participate in the genomic project and awareness, attitudes, and concerns about PM. Results: The main results show that the vast majority (92.6%) would be willing to participate—a higher percentage than in previous studies. Age, education, and prior experience in the healthcare sector are significant factors influencing the awareness of PM. Additionally, subgroups organized by age, gender, and religiosity show significant differences with respect to participants’ reasons for participating in research and which types of biological samples they would be willing to donate. Conclusions: Our findings can serve as a guide for stakeholders—particularly policymakers—to target institutional communication and achieve maximum participation in genomic research projects.
- 24 February 2025
- Published by MDPI AG in Journal of Personalized Medicine
- Vol. 15 (3) , 80
Open AccessThe Public Knowledge of Precision Medicine and Genomic Research: A Survey in the Aosta Valley
Background: Precision medicine (PM) considers the genetic variability of individuals to identify tailored diagnosis and treatments. It relies on the possibility of gathering the widest possible health data and genetic information from individuals to obtain a broad pool of comparative data. To achieve this goal, the Region of Valle d’Aosta, since 2019, has co-financed the research center CMP3VdA, aiming to sequence 5000 genomes of patients with neurodevelopmental, neurodegenerative, oncological, and organ transplantation diseases, and to investigate the genetic variability of the resident population. Methods: This paper presents the results of an online survey of 472 (328F) respondents regarding willingness to participate in the genomic project and awareness, attitudes, and concerns about PM. Results: The main results show that the vast majority (92.6%) would be willing to participate—a higher percentage than in previous studies. Age, education, and prior experience in the healthcare sector are significant factors influencing the awareness of PM. Additionally, subgroups organized by age, gender, and religiosity show significant differences with respect to participants’ reasons for participating in research and which types of biological samples they would be willing to donate. Conclusions: Our findings can serve as a guide for stakeholders—particularly policymakers—to target institutional communication and achieve maximum participation in genomic research projects.