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: | Masashi Honma |
| Institution: | The University of Tokyo Hospital |
| Department: | Department of Pharmacy |
| Country: | |
| Proposed Analysis: | In order to obtain the comprehensive and quantitative understanding of AD, including differences related to races, we are planning to analyze the US- and J-ADNI data statistically. We have already developed the statistical method "SReFT", with which we can estimate long-term chronological changes from fragmented observations in disease progression. Also, we analyzed the data from ADNI-1, GO, and 2 by applying SReFT. (Ishida, T. et.al., CPT, 2019, https://doi.org/10.1002/cpt.1166) Now, we are working on sophisticating the algorithm of SReFT and intend to integrate data from US- and J-ADNI for the analysis. While our access to the data from J-ADNI is already approved, we also need access to up-to-date US-ADNI data, including those from ADNI-3. This analysis would result in suggesting relevant biomarkers to describe the disease progression, which can develop further understanding of AD among Japanese and American patients. |
| Additional Investigators |
