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: | Maya Chandar |
| Institution: | Canterbury School |
| Department: | Self |
| Country: | |
| Proposed Analysis: | Alzheimer’s disease is one of the leading causes of death in the world, but researchers have not yet discovered a cure or preventative treatment. Mild cognitive impairment can be a pertinent early symptom of Alxheimer’s disease, and provide insight into the prognosis of the patient, but is usually not treated until it progresses into a worse condition of dementia. If doctors are able to use machine learning artificial intelligence to predict the prognosis of a patient with mild cognitive impairment, this could increase the survival rate of the patient and assist the doctor in formulating treatment plans before their conditions worsens. The problem being addressed is the prediction and prognosis of neurodegeneration in patients with mild cognitive impairment through the use of a machine learning algorithm that integrates results from neuroimaging and biomarker data analysis. I hypothesize that the use of a machine learning algorithm that integrates results from neuroimaging and biomarker data will help predict the progression of neurodegeneration in patients with mild cognitive impairment to Alzheimer’s disease. |
| Additional Investigators |
