George P Patrinos, Stavroula Siamoglou, Konstantinos Lazaros, Vasilios Xirafas, Aristidis G Vrahatis, Christina Mitropoulou
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引用次数: 0
Abstract
Personalized Medicine has the potential to transform modern healthcare by tailoring medical decisions to an individual's unique genomic profile. However, its integration into routine clinical practice is hindered by limited genomics education among healthcare professionals and a general lack of public awareness. To address these challenges, we introduce the BioSTEM initiative, an innovative educational tool designed for primary, elementary, and high school students. BioSTEM combines optimized online learning modules with interactive audiovisual content, fostering direct communication between students and educators. It also integrates alternative learning strategies, such as online games and comics, to enhance engagement with topics in Biology, Molecular Biology, Genetics, and Personalized Medicine. Since 2016, BioSTEM has reached over 6,000 students across three countries through a combination of theoretical instruction and hands-on experiments using a portable molecular biology laboratory. Our results indicate that participation in BioSTEM significantly improved students' and educators' perception of their understanding of concepts in Genetics and Personalized Medicine. Participants reported a stronger grasp of genomic concepts and expressed support for incorporating BioSTEM into the standard biology curriculum. These findings suggest that BioSTEM is a promising and scalable approach to advancing biomedical education and fostering the development of genomic-literate citizens.
期刊介绍:
Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics.
Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.