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: | Minfang Xiao |
| Institution: | University of Taipei |
| Department: | Department of Computer Science |
| Country: | |
| Proposed Analysis: | Intelligent healthcare combines the best practices of the medical field and artificial intelligence technology. It utilizes machine learning algorithms and big data analysis to extract valuable information from vast amounts of medical data, assisting doctors and healthcare professionals in making more accurate diagnoses and treatment decisions. The development of this technology holds tremendous potential for enhancing the efficiency and quality of healthcare while simultaneously reducing medical costs. I intend to apply this technology in expanding the knowledge and techniques in the medical field, improving the accuracy of diagnosis and treatment, strengthening personalized medicine, and promoting medical research and innovation. Medical machine learning will bring about significant transformation and progress in the healthcare sector. Funding research and development projects related to medical machine learning will contribute to the application of innovative technologies, enhance the quality and efficiency of healthcare services, and have a positive impact on human health. I hope to receive the support of your esteemed review committee in jointly promoting the development of medical machine learning for the benefit of human health. Sincerely, Minfang Xiao |
| Additional Investigators |
