2019
DOI: 10.1186/s12909-019-1812-7
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OncoSim and OncoWiki: an authentic learning approach to teaching cancer genomics

Abstract: BackgroundPersonalised medicine is rapidly changing the clinical environment, especially in regard to the management of cancer. However, for the large part, methods used to educate undergraduate students as future biomedical scientists and medical doctors have not reflected these changes. In order to make effective use of advances in cancer genomic knowledge, there is a need to expose students to the challenges of genomic medicine and to do so in a manner that makes this complex information accessible.MethodsT… Show more

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Cited by 5 publications
(4 citation statements)
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“…The pilot group of students ( n = 4) in this project were placed in the subject area of genetic medicine, therefore bioinformatic analysis was adopted as the basis for a dry-lab project, since it aligns with wider advances in cancer research and analyses of health-related patient data [ 25 , 26 ]. A project was therefore designed which would substitute traditional wet-lab activities with computer-based ones, while remaining focused on the area of genetic medicine.…”
Section: Resultsmentioning
confidence: 99%
“…The pilot group of students ( n = 4) in this project were placed in the subject area of genetic medicine, therefore bioinformatic analysis was adopted as the basis for a dry-lab project, since it aligns with wider advances in cancer research and analyses of health-related patient data [ 25 , 26 ]. A project was therefore designed which would substitute traditional wet-lab activities with computer-based ones, while remaining focused on the area of genetic medicine.…”
Section: Resultsmentioning
confidence: 99%
“…Currently, there are numerous open-source cancer genomics tools and ML training platforms that have the potential to accelerate cancer informatics research, such as OncoSim, OncoWiki, and Google Collaboratory 95 96 . The NCI Informatics Technology for Cancer Research Program has a number of open-access tools that support the analysis of genomic, imaging, and clinical data 97 .…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, there is currently a need for physicians and health professionals to recognize and use the power of cutting edge genomics to inform diagnosis and treatments for their patients (Rubanovich et al, 2018). Through the use of clinically relevant genomic datasets like the ones found in TCGA in the undergraduate classroom, we can raise awareness for the relevance of these resources in medicine early on in the training of these individuals (Schoenborn et al, 2019).…”
Section: Introductionmentioning
confidence: 99%