Clinical Features and Survival Analysis of Osteosarcoma Patients: A Vietnamese Nationwide Retrospective Study

January 1, 2024·
Chi Phan
Chi Phan
,
Hung Nguyen
,
Phuong Cao
· 1 min read
Abstract
This report studies clinical characteristics and survival outcomes of osteosarcoma patients in a Vietnamese nationwide retrospective cohort, with a focus on identifying factors associated with prognosis.
Type
Status
Open access
publications

Retrospective report on osteosarcoma patient characteristics and survival analysis in the Vietnamese context.

Chi Phan
Authors
Chi Phan (she/her)

Hi! I’m Chi, and I am interested in developing multimodal AI systems that can meaningfully improve medical understanding and support clinical decision-making.

My research lies at the intersection of machine learning and medical imaging, with a particular focus on multimodal foundation models, medical reasoning, and trustworthy AI for healthcare. I am especially interested in building clinically grounded and reliable models that can learn from complex medical data while remaining interpretable and useful in real-world settings.

During my research journey, I have been fortunate to work under the guidance of Prof. Yueming Jin at the National University of Singapore, Prof. Lee Hwee Kuan at the Bioinformatics Institute (A*STAR), Prof. Hieu Pham at VinUniversity, and Prof. Ravishankar K. Iyer at the University of Illinois Urbana–Champaign. Feel free to reach out if you would like to chat about medical AI, multimodal learning, or research in general!