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: | Michael Lingzhi Li |
| Institution: | Massachusetts Institute of Technology |
| Department: | Operations Research Center |
| Country: | |
| Proposed Analysis: | To whom it may concern, We are a research group at the Operations Research Center at Massachusetts Institute of Technology, advised by Professor Dimitris Bertsimas. We are applying for access to the ADNI database to develop a machine-learning based framework to predict the progression of the Alzheimer’s disease. In particular, we aim to develop a holistic framework which is able to utilize a wide range of data, including the clinical, genetic and medical imaging data, to predict patients’ probability of significant cognitive decline in the future. The challenge of the task, as well as the potential power of such approach, lies in developing one single model which is able to combine insights from multiple sources and types of data. In addition, we hope build upon expertise within our group to develop explainable and robust machine learning algorithms. We believe the ADNI database would provide us with an excellent starting point to explore the potentials of such holistic approach, in hope of advancing the application potential machine-learning based patient disease management. Thank you for your time and consideration, Sincerely, Michael Lingzhi Li |
| Additional Investigators | |
| Investigator's Name: | Dimitris Bertsimas |
| Proposed Analysis: | To whom it may concern, We are a research group at the Operations Research Center at Massachusetts Institute of Technology, advised by Professor Dimitris Bertsimas. We are applying for access to the ADNI database to develop a machine-learning based framework to predict the progression of the Alzheimer’s disease. In particular, we aim to develop a holistic framework which is able to utilize a wide range of data, including the clinical, genetic and medical imaging data, to predict patients’ probability of significant cognitive decline in the future. The challenge of the task, as well as the potential power of such approach, lies in developing one single model which is able to combine insights from multiple sources and types of data. In addition, we hope build upon expertise within our group to develop explainable and robust machine learning algorithms. We believe the ADNI database would provide us with an excellent starting point to explore the potentials of such holistic approach, in hope of advancing the application potential machine-learning based patient disease management. Thank you for your time and consideration, Sincerely, Dimitris Bertsimas |
| Investigator's Name: | Cynthia Zeng |
| Proposed Analysis: | To whom it may concern, We are a research group at the Operations Research Center at Massachusetts Institute of Technology, advised by Professor Dimitris Bertsimas. We are applying for access to the ADNI database to develop a machine-learning based framework to predict the progression of the Alzheimer’s disease. In particular, we aim to develop a holistic framework which is able to utilize a wide range of data, including the clinical, genetic and medical imaging data, to predict patients’ probability of significant cognitive decline in the future. The challenge of the task, as well as the potential power of such approach, lies in developing one single model which is able to combine insights from multiple sources and types of data. In addition, we hope build upon expertise within our group to develop explainable and robust machine learning algorithms. We believe the ADNI database would provide us with an excellent starting point to explore the potentials of such holistic approach, in hope of advancing the application potential machine-learning based patient disease management. Thank you for your time and consideration, Sincerely, Cynthia Zeng |
| Investigator's Name: | Liangyuan Na |
| Proposed Analysis: | To whom it may concern, We are a research group at the Operations Research Center at Massachusetts Institute of Technology, advised by Professor Dimitris Bertsimas. We are applying for access to the ADNI database to develop a machine-learning based framework to predict the progression of the Alzheimer’s disease. In particular, we aim to develop a holistic framework which is able to utilize a wide range of data, including the clinical, genetic and medical imaging data, to predict patients’ probability of significant cognitive decline in the future. The challenge of the task, as well as the potential power of such approach, lies in developing one single model which is able to combine insights from multiple sources and types of data. In addition, we hope build upon expertise within our group to develop explainable and robust machine learning algorithms. We believe the ADNI database would provide us with an excellent starting point to explore the potentials of such holistic approach, in hope of advancing the application potential machine-learning based patient disease management. Thank you for your time and consideration, Sincerely, Irra Na |
