N13 : Q-CaDD: Accelerating In Silico Methodologies with Quantum Computation and Machine Learning for EGFR


Students Lohitaksh Badarala
School HDSB - Bruce Trail Public School - Milton
Level Junior 7/8 - Grade 8
Group Group 9 - Health Sciences III
Abstract Q-CaDD is aimed to employ quantum computing and in silico drug design as well as machine learning with the purpose of enhancing the realm of pharmacology, extending beyond the constraints of traditional drug discovery methods. This framework was specifically applied for EGFR to combat cancer, particularly in lung and pancreatic cancer.
Awards
Group Award Prize
Merit AwardsGold Merit Award$ 100
Grand AwardsRoy Middleton Memorial Award
Canada-Wide Science Fair Trip AwardsCanada-Wide Science Fair Trip Award