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7 Regeneron STS finalists find project inspiration in surprising places - Society for Science

Retrieved on: 2024-03-08 18:47:26

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The article highlights the innovative use of machine learning by Regeneron STS finalists in various fields, from enhancing cancer diagnosis to aiding visually impaired individuals and combating invasive species. The tag 'Selina Zhang' specifically refers to a student who invented an AI-based decoy tree to address the spotted lanternfly problem.

Article found on: www.societyforscience.org

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