Data Science and Informatics Core for Cancer Research
Introduction
As the cancer research experiences a paradigm shift from data generation to data analysis, data science and AI start to play a more and more important role to advance cancer research.
Methods
We built a data science and AI-powered infrastructure, the Data Science and Informatics Core for Cancer Research, to support cancer research. This core facility developed a robust computing infrastructure tailored for data science and AI-driven cancer research, and supports faculty to develop a wide variety of deep learning-based methods.
Results
With this robust infrastructure, we applied various deep learning-based approaches to advance cancer research, from segmenting thoracic cavities with neoplastic lesions to predicting brain metastasis in lung cancer patients. We also developed novel algorithms to predict disease-disease relationships and assessed the impact of data bias on training deep learning models.
Conclusion
A cutting-edge data science and informatics core powered by AI can make a significant contribution to support cancer research.