Interpretable Modeling of Immunotherapy Response Factors
Immunotherapy, which treats cancer by either stimulating or suppressing the immune system, has been extraordinarily effective for some cancers, such as breast cancer and B-cell lymphoma. A type of immunotherapy, checkpoint inhibitors work by blocking the ability of cancer cells to evade immune syste...
Main Author: | Ting, Britney A. |
---|---|
Other Authors: | Fraenkel, Ernest |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
|
Online Access: | https://hdl.handle.net/1721.1/151634 |
Similar Items
-
Identifying microRNAs associated with tumor immunotherapy response using an interpretable machine learning model
by: Dong-Yeon Nam, et al.
Published: (2024-03-01) -
Interpreting success or failure of peanut oral immunotherapy
by: Shijie Cao, et al.
Published: (2022-01-01) -
Interplay between the DNA Damage Response and Immunotherapy Response in Cancer
by: Elizabeth Chun Yong Lee, et al.
Published: (2022-11-01) -
Classical mathematical models for prediction of response to chemotherapy and immunotherapy.
by: Narmin Ghaffari Laleh, et al.
Published: (2022-02-01) -
Modeling the dynamics of innate and adaptive immune response to Parkinson's disease with immunotherapy
by: Salma M. Al-Tuwairqi, et al.
Published: (2023-01-01)