Creating the Genomics AI Coalition
I propose the formation of the Genomics AI Coalition (GACT) – applying artificial intelligence and machine learning to genomics (AI/ML-Gen) in the areas of
Are healthcare providers and patients ready for AI-based applications for clinical genomics? Let’s create the Genomics AI Coalition (GACT) to purposefully move this forward.
What are the benefits and challenges of implementing AI-based applications in clinical genomics, and how can they be addressed? Let’s begin with this statement. See the related post article here. Read the in-depth perspective report here.
The Action statement mentions only a few of the coalition goals and activities. Major next steps will include:
Do you have suggestions or feedback regarding this Call to Action? What steps or solutions do you suggest to meet these goals? Have you taken action and has it resulted in a particular outcome? Provide your comments using the form below or feel free to send an email directly to moveforward@genomics.network.
I will use the feedback provided to create additional posts around this topic which you will be able to view on this page. Please note that no identifying information will be included in anything posted on this website unless such identification is consented.
I propose the formation of the Genomics AI Coalition (GACT) – applying artificial intelligence and machine learning to genomics (AI/ML-Gen) in the areas of
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The adoption of clinical genomics as standard of care has been slow. In this blog post, we will examine the major issues affecting clinical adoption
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