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Principal Investigator  
Principal Investigator's Name: Diana Evangelista
Institution: Ardsley High School
Department: Science
Country:
Proposed Analysis: I hope to develop a deep learning model (specifically, a convolutional neural network of InceptionV3 architecture) for the early detection of Alzheimer's disease. The imaging data will be preprocessed using a grid method through Python. My neural network will be trained with the images using the first-order gradient-based stochastic optimization algorithm Adam, then tested for its accuracy in classifying data as AD, MCI, or normal. As for interpreting my results: I will plot receiver operating characteristic (ROC) curves of the model and calculate the area under the ROC curve (AUC). I will also determine my model's sensitivity and specificity, develop a saliency map, and plot t-distributed stochastic neighbor embedding.
Additional Investigators  
Investigator's Name: Elizabeth Chun
Proposed Analysis: **Degree: Elizabeth is a high school science research student at Ardsley High School. (She has experience conducting Alzheimer's Disease research at a lab at New York Medical College.) I am her science research teacher and adult sponsor for research. Elizabeth will be conducting the proposed analysis detailed under my name.
Investigator's Name: Elizabeth Chun
Proposed Analysis: **Degree: Elizabeth is a high school science research student at Ardsley High School. (She has experience conducting Alzheimer's Disease research at a lab at New York Medical College.) I am her science research teacher and adult sponsor for research. Elizabeth will be conducting the proposed analysis detailed under my name.