Braunstein, Lior

Cancer therapy shapes the fitness landscape of clonal hematopoiesis

Bolton, K. L., Ptashkin, R. N., Gao, T., Braunstein, L., Devlin, S. M., Kelly, D., Patel, M., Berthon, A., Syed, A., Yabe, M., et al. (2020) · Nature Genetics

Acute Myeloid Leukemia ResearchCancer Genomics and Diagnostics

Cited by 751

A mutational signature reveals alterations underlying deficient homologous recombination repair in breast cancer

Polak, P., Kim, J., Braunstein, L. Z., Karlic, R., Haradhavala, N. J., Tiao, G., Rosebrock, D., Livitz, D., Kübler, K., Mouw, K. W., et al. (2017) · Nature Genetics

BRCA gene mutations in cancerCancer Genomics and Diagnostics

Cited by 531

CD4+ T Cells Contribute to the Remodeling of the Microenvironment Required for Sustained Tumor Regression upon Oncogene Inactivation

Rakhra, K., Bachireddy, P., Zabuawala, T., Zeiser, R., Xu, L., Kopelman, A., Fan, A. C., Yang, Q., Braunstein, L., Crosby, E., et al. (2010) · Cancer Cell

T-cell and B-cell ImmunologyCancer Immunotherapy and Biomarkers

Cited by 339

Mutations in BRCA1 and BRCA2 differentially affect the tumor microenvironment and response to checkpoint blockade immunotherapy

Samstein, R. M., Krishna, C., Ma, X., Pei, X., Lee, K.-W., Makarov, V., Kuo, F., Chung, J., Srivastava, R. M., Purohit, T. A., et al. (2020) · Nature Cancer

Cancer Immunotherapy and BiomarkersBRCA gene mutations in cancer

Cited by 219

Automated Real-World Data Integration Improves Cancer Outcome Prediction

Jee, J., Fong, C., Pichotta, K., Tran, T. N., Luthra, A., Waters, M., Fu, C., Altoe, M., Liu, S.-Y., Maron, S. B., et al. (2024) · Nature

Machine Learning in HealthcareCancer Genomics and Diagnostics

Cited by 188

Large language model trained on clinical oncology data predicts cancer progression

Zhu, M., Lin, H., Jiang, J., Jinia, A. J., Jee, J., Pichotta, K., Waters, M., Rose, D., Schultz, N., Chalise, S., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 30