There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
Principal Investigator | |
Principal Investigator's Name: | Taimur Shahzad Gill |
Institution: | National University of Sciences and Technology |
Department: | Department of Electronics and Power Engineering |
Country: | |
Proposed Analysis: | The proposed project aims to apply advanced deep learning techniques on Alzheimer's Disease Neuroimaging Initiative (ADNI) data, focusing on neuroimaging data sets of Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET). We intend to explore various neural networks such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) for image analysis and time-series analysis respectively. The primary goal is to identify early biomarkers and pattern changes in brain structures, thereby predicting the onset and monitoring the progression of Alzheimer's disease. The secondary goal is to correlate these neuroimaging findings with clinical, genetic, and neuropsychological data, facilitating a holistic, multi-modal approach. We anticipate that this study will contribute significantly to the early diagnosis and personalized treatment strategies for Alzheimer's patients. |
Additional Investigators |