This course explores ethical and social issues as they relate to genetics and genomics in both clinical and public health contexts.
About this listing
ELSI in Review is a listing of recently published reviews of the literature on key ELSI topics curated by CERA staff. Our September 2024 set explores public attitudes towards health-related genomics, returning genetic results to Indigenous communities, and more. If you would like your ELSI-relevant review featured in this communication, please contact us at [email protected].
ELSI in Review is a listing of recently published reviews of the literature on key ELSI topics curated by CERA staff. Our August 2024 set explores features of genetic data that contribute to privacy vulnerabilities, societal attitudes towards genetically modified crops, and more. If you would like your ELSI-relevant review featured in this communication, please contact us at [email protected]. You can find more reviews in the ELSIhub Publications database!
ELSI in Review is a listing of recently published reviews of the literature on key ELSI topics curated by CERA staff. Our July 2024 set explores perspectives on germline genetic testing, bias in artificial intelligence, and more. If you would like your ELSI-relevant review featured in this communication, please contact us at [email protected]. You can find more reviews in the ELSIhub Publications database!
Project Narrative Racial/ethnic disparities in genomic testing and research participation threaten to exacerbate inequities in health outcomes, particularly in pediatrics.3-7 Given that current genomic privacy mechanisms (e.g., de-identification, broad consent) do not adequately address the concerns of historically disadvantaged populations related to genomic testing and research,1-3 there is an urgent need to understand the range of perspectives on genomic data privacy held by parents from diverse sociodemographic backgrounds.
PROJECT NARRATIVE Cloud computing promises to scale up storage, analysis and sharing of health data needed to accelerate research in genomics and precision medicine but methods for evaluating how responsible access to and sharing of genomic data is governed in the cloud remain severely underdeveloped. The proposed K01 aims to develop, validate, and implement a reliable tool in partnership with global stakeholders to assess genomic data stewardship across publicly funded repositories worldwide.
The co-evolution of computational processing power and neural network models has made revolutionary developments in generative artificial intelligence (GenAI) possible. One type of GenAI, large language models (LLMs), are disrupting a wide range of industries, including healthcare. LLMs are trained on large corpora of natural human language to predict and generate text (in chatbot form) that persuasively conveys contextual and semantic understandings.
Nearly 75 years ago, countries agreed to an International Bill of Human Rights, that included, among other fundamental rights, a right to privacy, a right to science, and a right to