Peter P. Lee

This study optimizes pembrolizumab therapy for de novo metastatic MSI-H/dMMR colorectal cancer using delay integro-differential equations, balancing efficacy, efficiency, and toxicity.

This paper develops a differential equation model and converts it to an agent-based model to simulate immune dynamics in MSI-H/dMMR colorectal cancer under pembrolizumab treatment.

The paper measures ligand discrimination errors and molecular noise in immune cells of ER+ breast cancer patients compared to healthy controls using a communication model.

The paper shows that lymphocytes and monocytes suppress IL-10R, IL-6R, and IL-2Rβγ signaling under high cytokine concentrations, mediated by cytokines that do not induce their own pSTATs.

The paper profiles cytokine signaling responses in breast cancer patients and finds coordinated dysregulation across pathways and cell types, suggesting immune cell reprogramming and immunosuppression.

This study uses control theory to model SARS-CoV-2 immune responses, identifying two mechanisms that explain virulence and transmission variation across hosts.

The paper develops a Bayesian network analysis pipeline to identify immune signaling changes in GEA patients before and after immunotherapy, detecting signals missed by conventional methods.