RESEARCH

The main research goal of the center (CACIB) is to understand cells' development, aging, and dynamics related to cancer, neural diseases, and mental illness with the use of advanced computing and imaging technologies. The long-term mission is to promote human health and disease treatment. CACIB consists of three main research topics as described below:

Research Area 1
Technology for advanced multiomics and computational biology  

Due to the advancements in cutting-edge multi-omics technologies, we can generate various omics data based on different molecules at the cellular and tissue levels, such as genomics, transcriptomics, proteomics, and metabolomics. One of the academic research objectives of CACIB is to utilize multi-omics data to comprehensively investigate the fate and dynamic changes of cells, thereby understanding the causes of diseases.

Research Area 2
Quantum computing in advanced biomedical research

Multi-omics biomedical big data and multi-modal biomedical image data need to be analyzed by efficient computing technology to obtain useful information and construct novel models for advanced biomedical research. With the generation of huge amounts of data and the increase in the complexity of problems, in addition to the need to accelerate the computing power of traditional computers today, we will also develop quantum computing technology, allowing us to explore and exploit the advantages of quantum computing to enhance and accelerate our computing capabilities and help solve problems that cannot be solved by current computers.

Research Area 3
Advanced biomedical imaging 

The technology of advanced imaging plays a crucial role in today's biomedical research. Improvements in this multi-scale multi-modality imaging technology allow us to observe structures at the single-digit nanometer scale, track the movement of molecules, and study their interactions, toward visualizing both the structural and functional aspects of tissue-level organizations and eventually applied for clinical diagnosis. Through computational analysis and multi-omics analysis of the biomedical data generated by systems biology, we gain deeper  insights and understanding of the linkage of  human health from molecular and cellular levels.

Utilizing a variety of cutting-edge imaging techniques, along with interpretation and analysis, enhances our understanding of the operational patterns and dynamic changes of these molecules. Apart from continuously advancing multi-scale and multi-modal state-of-the-art biomedical imaging technologies, our center's team also integrates imaging with advanced computation and multi-omics analysis to aid in deciphering the causes of diseases and predicting the efficacy of treatments.