The Computational Molecular Biology group combines understanding of high-throughput technology and molecular biology with machine learning techniques to tackle complex problems in biomedical research. Our work focuses on data analysis, visualization, and interpretation but we also collaborate closely with experimental laboratories.
health and well-being
1. Improve understanding of cancer to develop biomarker and therapy
2. Implement pathogen surveillance program in Thailand
3. Train medical personnel in data skills
1. Improved delineation of colorectal cancer molecular subtypes and functional profiles with a 62-gene panel. Molecular Cancer Research 21 (3), 240-252. Featured on the cover page of March 2023 volume.
2. AI-assisted monitoring of COVID-19 community isolation in Thailand. 2023 IEEE Statistical Signal Processing Workshop (SSP), 651-655.
3. Federated learning for predicting clinical outcomes in patients with COVID-19. Nature medicine 27 (10), 1735-1743. Collaboration with 20 hospitals around the world.
