| Students | Elias Thanos
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| School | IND - Trinity Christian School - Burlington |
| Level | Junior 7/8 - Grade 8 |
| Group | Group 9 - Health Sciences III |
| Abstract | This project explores how artificial intelligence, including XGBoost, can accelerate advancements in genetic therapy for cancer. By running AI-driven simulations, it aims to help scientists improve CRISPR-Cas9 targeting of cancerous mutations, reducing cancer’s impact or eliminating it entirely. The goal is to enhance accuracy, increase cure rates, and revolutionize cancer treatment through AI-powered genetic engineering, offering hope for more effective and precise therapies. |
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