MEMBERS
With the recent advancement of multi-omics technologies, various omics data can be generated at cellular and tissue levels, including genomics, transcriptomics, proteomics, and metabolomics. One of the main research goals of the proposed center is to exploit the multi-omics data to study cell fate and cell dynamics, as well as to further understand cell development, aging, and disease mechanisms.
With the recent advancement of multi-omics technologies, various omics data can be generated at cellular and tissue levels, including genomics, transcriptomics, proteomics, and metabolomics. One of the main research goals of the proposed center is to exploit the multi-omics data to study cell fate and cell dynamics, as well as to further understand cell development, aging, and disease mechanisms.
Advanced computing technologies are needed to analyze big data from multi-omics and imaging. In addition, such computing technologies are required to derive useful information and establish new models. The multi-omics and imaging big data not only warrants the need to accelerate classical computing but also motivates the development of novel quantum computing algorithms. As an example, quantum computing can predict genome transcription and protein structure for drug development more precisely. It becomes clear that the advancement of quantum computing has the potential to solve the precision problems in classical computing. Quantum computing is indeed a timely and critical component of this proposal.
Advanced computing technologies are needed to analyze big data from multi-omics and imaging. In addition, such computing technologies are required to derive useful information and establish new models. The multi-omics and imaging big data not only warrants the need to accelerate classical computing but also motivates the development of novel quantum computing algorithms. As an example, quantum computing can predict genome transcription and protein structure for drug development more precisely. It becomes clear that the advancement of quantum computing has the potential to solve the precision problems in classical computing. Quantum computing is indeed a timely and critical component of this proposal.
Advanced biomedical imaging technologies are critical in bridging preclinical research to translational research. The third research goal of the proposed center is to continue the development of advanced imaging technologies of the team, from the nanometer level for molecular structure and movement to the millimeter to centimeter level for cell and tissue imaging. With this, the interaction between the cause of the disease and the effect of the treatment can be investigated. In addition, the data extracted from images (radiomics) can also be combined with other multi-omics data to understand biomedical mechanisms. Finally, the combination of imaging, quantum computing, and artificial intelligence can facilitate disease diagnosis, mechanism, and prediction.
Advanced biomedical imaging technologies are critical in bridging preclinical research to translational research. The third research goal of the proposed center is to continue the development of advanced imaging technologies of the team, from the nanometer level for molecular structure and movement to the millimeter to centimeter level for cell and tissue imaging. With this, the interaction between the cause of the disease and the effect of the treatment can be investigated. In addition, the data extracted from images (radiomics) can also be combined with other multi-omics data to understand biomedical mechanisms. Finally, the combination of imaging, quantum computing, and artificial intelligence can facilitate disease diagnosis, mechanism, and prediction.