This project will establish a National biobank consortium of Taiwan (NBCT) through the fund supportgovernance from the government. All Alliance will follow the same SOP for the biomaterial collectionhave the same quality of the biosample. Adequateconsistent clinical data will also be established under well information security management. Since the contents of the biobanks from different institute are quite different, we will be able to quickly establish a largecomprehensive biobank network. In line with the needs of biotechnology pharmaceutical, artificial intelligence, auxiliary medicalother industries.

The core concept of the decision support system is to establish machine learning-based predictive modelsenable their interpretability to support physicians making clinical decisions in practice. The developed technique is part of the capstone project named "Smart Emergency Department," sponsored by the Ministry of ScienceTechnology. The system comprises NTUH (National Taiwan University Hospital) EMR (Electronic Medical Record) importance analysis, accurate clinical quality indicator prediction,similar medical record retrieval. It is expected to improve the patients＇ flowalleviate emergency department crowding. It has been verified in retrospective studieswill officially enter the clinical trial phase this year.