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: | zhengying Wang |
| Institution: | Jinan University |
| Department: | Institute of Technology |
| Country: | |
| Proposed Analysis: | Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of people worldwide. Early diagnosis of AD is crucial for timely intervention and treatment, but it remains a challenging task due to the complexity and heterogeneity of the disease. We propose a multimodal deep neural network model that integrates three different types of data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database: electronic health records (EHR), single nucleotide polymorphisms (SNP), and magnetic resonance imaging (MRI). Our model leverages the complementary information from each modality to learn a joint representation of the patient's cognitive status and disease stage. Based on this model, we will also develop a graphical user interface (GUI)-aided diagnostic system that allows clinicians to interactively explore the multimodal data and the model predictions for each patient. We demonstrate the usability and utility of our system through a case study with a real patient from the ADNI database. |
| Additional Investigators |
