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: | Silvia Vitali |
| Institution: | Euskal Oxcitas Biotek S.L. |
| Department: | R&D |
| Country: | |
| Proposed Analysis: | Oxcitas is a fast-growing deep-tech start-up on a mission to serve up transformational therapeutic interventions for healthy ageing and long-term care. We are a multidisciplinary team of highly trained scientists with vast experience delivering technical solutions in areas ranging from artificial intelligence and machine learning, to applied mathematics, statistics and numerical simulation, as well as biology, bioinformatics, computational chemistry and pharmacology. As part of our portfolio, we are particularly interested in developing accurate and innovative risk assessment metrics to aid in the early detection and forecast of progression of a number of age-related diseases, among which neurodegenerative diseases stand out. Early detection of neurodegenerative diseases is crucial because it can greatly improve the chances of effective treatment and disease management. Early diagnosis allows for earlier intervention which can help delay the onset of the disease and slow down its progression, improving quality of life and prolonging independence. Moreover, it can also help in the development of new treatments and therapies for neurodegenerative diseases [Alzheimer’s Association, 2020].The Alzheimer’s Disease NeuroImaging Initiative (ADNI) and the Australian Imaging, Biomarkers and Lifestyle (AIBL) Flagship Study of Ageing, together with the Brain Aging in Vietnam War Veterans (DOD-ADNI) have been already shown to be of extreme importance for developing models of aging in cohorts of elderly people to be compared with groups at risk of and/or carrying neurodegenerative diseases as shown by Tian et al. [Tian 2023] in relation to organ clocks and as hypothesized by Miller et al. [Miller 2014] in relation to PTSD. The longitudinal nature, the large sample size and wide variety of the data, which include brain imaging, blood and CSF biomarkers, clinical diagnosis and information about the lifestyle, etc. allow to use an integrative perspective and multifactorial data-driven analysis, as previously shown by Iturria-Medina and colleagues [Iturria Medina 2016]. We want to study and develop innovative risk metrics for early diagnosis and monitoring of disease progression to be validated against previously established risk metrics and clinical diagnosis models derivable from the information provided in your dataset. In order to do so we kindly request access to the ADNI database. Our plan is to integrate your data with other sources of information available at Oxcitas, generating a very unique multi-modal database that may provide flags for early differential diagnosis and allow us to identify biomarker signatures for the stratification of individuals according to the risk of developing neurodegenerative diseases of interest. |
| Additional Investigators | |
| Investigator's Name: | Nicole Cusimano |
| Proposed Analysis: | The researcher will participate to the study proposed together with the principal investigator. |
| Investigator's Name: | Marco Capo |
| Proposed Analysis: | The researcher will participate to the study proposed together with the principal investigator. |
| Investigator's Name: | Patricia Ricamara |
| Proposed Analysis: | The researcher will participate to the study proposed together with the principal investigator. |
| Investigator's Name: | Bipin Patel |
| Proposed Analysis: | The researcher will participate to the study proposed together with the principal investigator. |
