E07 : PAAD Diagnosis & Prognosis using novel glycolysis-related gene signatures with machine learning
| Students | Micah Sun
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| School | HDSB - Hawthorne Village Public School - Milton |
| Level | Junior 7/8 - Grade 8 |
| Group | Group 9 - Health Sciences III |
| Abstract | Pancreatic cancer (PAAD) is notoriously difficult to diagnose and treat, leading to poor prognosis. The Warburg Effect is a characteristic of cancer, where cancer cells prioritize glycolysis for energy production. This project seeks to investigate glycolysis as a potential diagnostic and prognostic biomarker for PAAD, and to create accurate models for PAAD patients. |
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