Collaborative Research: FDT-BioTech: Aspects of Digital Twin Studies for Neuroimages
Brief description of the project:
Neurodegenerative diseases (for example, Alzheimer's disease, Parkinson's disease, multiple sclerosis) impact millions of people in the United States and result in hundreds of thousands of deaths. These disorders can affect people of all ages, although they are more common in older adults. Digital twin models, leveraging the exponential growth of biomedical data and artificial intelligence and data science techniques, are opening exciting avenues to obtain new insights into these diseases and revolutionize their treatment and prevention. We will address multiple problems on this interface, and develop data science-driven theoretical foundations, methodological tools and algorithmic principles for several aspects of digital twin models towards better understanding of digital twins as a whole, and in particular in the context of their use in neuroscience and in prevention, treatment and better understanding of neurodegenerative diseases.
We will address open problems in low-dimensional manifold learning, causal pathway searches and feature discoveries and selections, and develop multiple techniques for verification, validation and uncertainty quantification of digital twins using Bayesian techniques, data assimilation, resampling, empirical likelihood methods and topological data analysis. We will also develop dynamical system models, incorporating observational image data, for computational efficiency and synthetic data generation for ethical use of artificial intelligence and digital twin technology in studying neurodegenerative diseases. Additionally, we will develop knowledge graph driven systems for use by regulatory and other healthcare monitoring agencies for de-risking and easy implementation of data-driven modern technologies.
This project is a collaborative effort between UMBC, UMN and Texas Tech.
FDT project members from UMBC:
Additional details will come soon.
- Siddhartha Nandy Post-doc.
- Vishal Subedi Grad student.
- Fred Azizi Grad student.
- Pratyusha Sarkar Grad student.
- Jhilam Sur Grad student.
- Yuting Liu Grad student.
- Olivia Yuengling Undergrad student.
Publications:
Coming soon!