Celebration Lunch for Lab Members

Laboratory’s semesterly gathering! Grateful for the efforts of all laboratory members throughout this semester. Looking forward to continuing our academic research to contribute more to humanity.

Laboratory’s semesterly gathering! Grateful for the efforts of all laboratory members throughout this semester. Looking forward to continuing our academic research to contribute more to humanity.
Congratulations! Dr. Meng-Hsiun Tsai Appointed as the Chief Advisor of the Taiwan Innovation and Invention Exchange Association (TIIEA). During the term, Dr. Tsai will continue to actively promote cross-strait technological innovation and invention, facilitate exchanges among inventors from both Taiwan and China, and periodically organize scientific and technological conferences (academic forums).
Dr. Meng-Hsiun Tsai is visiting UC San Diego’s Cancer Center and School of Medicine as a visiting scholar. During this period, the professor will be engaged in research on the development of cancer cell vaccines and bioinformatics.
Dr. Meng-Hsiun Tsai Presents the works (directed by Ying-Chen Lin, Chung-Ting Lin, Fu-Sheng Hsueh, and Keng-Yuan Nien) at MOE Teaching Practice Research Program Workshop! The professor demonstrated how to enable learners to interact with big data in a virtual 3D environment.
Congratulations to the professor on being selected as a Technical Committee member for the 2021 11th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB 2021)!
Congratulations to Fu-Sheng Hsueh, Yu-Sheng Cheng, Min-Yu Chen, Yen-Chih Feng, Wen-Chieh Li, Chia-Hsien Li, and Yen-Chun Lu from the Precision Medicine & Clinical Translational Research Lab on the successful completion of their master’s thesis defense! This is a significant achievement, and their hard work and dedication are truly commendable. Wishing them continued success in their…
Lab Conducts a collaborative research project with Changhua Christian Hospital to predict the prognosis and healthcare consumption of hospitalized trauma patients. The project introduces deep learning for predicting in-hospital mortality and length of stay for patients. Therefore, it contributes to predicting the prognosis and healthcare consumption of hospitalized trauma patients, ultimately enhancing the quality of…