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Horizon Scanning: Teaching Genomics and Personalized Medicine in the Digital Age.
Patrinos, George P; Mitropoulou, Christina.
  • Patrinos GP; Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, University of Patras School of Health Sciences, Patras, Greece.
  • Mitropoulou C; Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE.
OMICS ; 26(2): 101-105, 2022 02.
Article in English | MEDLINE | ID: covidwho-1672119
ABSTRACT
Digital transformation is currently impacting not only health care but also education curricula for medicine and life sciences. The COVID-19 pandemic has accelerated the deployment of digital technologies such as the Internet of Things and artificial intelligence in diverse fields of biomedicine. Genomics and related fields of inquiry such as pharmacogenomics and personalized medicine have been making important progress over the past decades. However, the genomics knowledge of health care professionals and other stakeholders in society is not commensurate with the current state of progress in these scientific fields. The rise of digital health offers unprecedented opportunities both for health care professionals and the general public to expand their genomics literacy and education. This expert review offers an analysis of the bottlenecks that affect and issues that need to be addressed to catalyze genomics and personalized medicine education in the digital era. In addition, we summarize and critically discuss the various educational and awareness opportunities that presently exist to catalyze the delivery of genomics knowledge in ways closely attuned to the emerging field of digital health.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Precision Medicine / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: OMICS Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: Omi.2021.0119

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Precision Medicine / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: OMICS Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: Omi.2021.0119