Precision Allocation of GLP1-RA and SGLT2i in Cardiac Rehabilitation
Constructed 3 medication variables from medication records in cardiac rehabilitation registry of over 550 patients with ASCVD and T2D.
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| CYSF Travel Award | |
| Webber Academy Senior STEM Award |
Predicting Acute GvHD in Pediatric Bone Marrow Transplants using Machine Learning
Acute graft-versus-host-disease is when the immune cells from the donor attack the child's tissues. This happens within 100 days of the allogeneic transplant. By using a ML regression model, we can predict a severity score for a patient given enough data.
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Predicting Lung Tumour Motion During Respiration Using ConvLSTM Neural Networks
My project uses a ConvLSTM neural network to predict lung tumour movement caused by breathing and predicts future positions, improving radiation therapy accuracy.
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Prevention of Biofilm
Our project is about understanding the prevention of biofilm., especially the impacts on train stations. Through this we are going to make an analogue experiment to represent a real world situation. From this we will make our conclusion.
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Prevention of Soil Erosion on Riverbanks
This project tests 4 different methods of preventing riverbank erosion on the effectiveness of them.
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Programmable Living Bacterial Circuits.
My project investigates the possibility of growing living electronic circuits using bacteria strains embedded in a hydrogel complex.
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| CYSF Director's Award |
MENTION
Project Icarus
Project Icarus is my creation to make a cargo glider to transport cargo inside a city, between cities, or to remote areas.
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Project SongBird: A Wearable Two Way Device for Sign Language Recognition and Translation Using Computer Vision and Machine Learning
Breaking down communication barriers, this wearable non-invasive device aims to foster a more inclusive society by providing independence in daily life or work, translating sign language or hand gestures into spoken words/text and vice versa in real time.
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Proposing an Evaluation Framework Assessing the Effectiveness of Large Language Models in Diagnosing Mental Disorders
In an era when many are unable to afford or are uncomfortable around human therapists, AI is a tempting alternative. But is AI truly suited for this use-case?
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