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: | Brandon Chiazza |
| Institution: | Yeshiva University |
| Department: | Artificial Intelligence |
| Country: | |
| Proposed Analysis: | Research on two questions that uses biomarkers and MRI data as inputs into artificial neural networks to answer: 1) At the MCI stage, can we predict whether or not the patient will convert to Alzheimers; and 2) Can we use AI to predict the clinical phenotype of Alzheimer's to support treatment approach? |
| Additional Investigators | |
| Investigator's Name: | Zeyu Wang |
| Proposed Analysis: | Research on two questions that uses biomarkers and MRI data as inputs into artificial neural networks to answer: 1) At the MCI stage, can we predict whether or not the patient will convert to Alzheimers; and 2) Can we use AI to predict the clinical phenotype of Alzheimer's to support treatment approach? |
| Investigator's Name: | Zeyu Wang |
| Proposed Analysis: | Research on two questions that uses biomarkers and MRI data as inputs into artificial neural networks to answer: 1) At the MCI stage, can we predict whether or not the patient will convert to Alzheimers; and 2) Can we use AI to predict the clinical phenotype of Alzheimer's to support treatment approach? |
| Investigator's Name: | Chuyun Hu |
| Proposed Analysis: | Research on two questions that uses biomarkers and MRI data as inputs into artificial neural networks to answer: 1) At the MCI stage, can we predict whether or not the patient will convert to Alzheimers; and 2) Can we use AI to predict the clinical phenotype of Alzheimer's to support treatment approach? |
