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Ongoing research projects in the Butner Laboratory include:

• Determining robust modeling-based approaches for early-time prediction of brain metastases immunotherapeutic failure to identify lesions that may be salvaged through the addition of radiosurgery
• Predicting patient survival under immunotherapy by combining mechanistic modeling and deep learning methods
• Quantitatively describing the key biophysical underpinnings of the complex interplay between checkpoint inhibitor immunotherapy and radiotherapy
• Studying how molecular signaling and phenotypic hierarchies affect the early stages of tumor development at the cellular level

Robust mathematical descriptions of the relationships between treatment outcomes and patient/disease characteristics allow us to study how tumors are able to evade treatment and how treatment strategies may be adapted to overcome this resistance. Understanding these mathematical relationships should allow for dynamic, adaptive optimization of personalized treatment planning to maximize outcomes for individual patients.

Learn more about our research