Universiteit Leiden

nl en


Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading

The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease prevention and treatment.

D. Chen
09 januari 2024
Thesis in Leiden Repository

As science and technology advance, the availability and diversity of observational and experimental data related to these biological processes continue to grow. In this thesis, we integrate multisource data with dynamic modeling to investigate the biological mechanisms of Notch signaling in biological development and to develop prevention and control strategies for infectious diseases.

Deze website maakt gebruik van cookies.  Meer informatie.