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: | Dnyaneshwar Pawar |
Institution: | Liverpool John Moores University |
Department: | MSML |
Country: | |
Proposed Analysis: | the significant impact of Alzheimer's disease (AD) and related dementias on millions of people globally, with no current cure or effective treatments available. Clinical trials have faced challenges due to the difficulty in identifying patients at early disease stages when treatments are most beneficial. To address this, the AD Prediction Of Longitudinal Evolution (TADPOLE) Challenge is introduced as an open community challenge to find algorithms that can best predict AD evolution and aid in early identification of at-risk subjects. In MedICSS, the project may be conducted as a live multi-day competition, where participants form teams and create algorithms to predict the evolution of real-life elderly individuals from AD patients to healthy volunteers. |
Additional Investigators | |
Investigator's Name: | DIKSHA SINGH |
Proposed Analysis: | the significant impact of Alzheimer's disease (AD) and related dementias on millions of people globally, with no current cure or effective treatments available. Clinical trials have faced challenges due to the difficulty in identifying patients at early disease stages when treatments are most beneficial. To address this, the AD Prediction Of Longitudinal Evolution (TADPOLE) Challenge is introduced as an open community challenge to find algorithms that can best predict AD evolution and aid in early identification of at-risk subjects. In MedICSS, the project may be conducted as a live multi-day competition, where participants form teams and create algorithms to predict the evolution of real-life elderly individuals from AD patients to healthy volunteers |