Roberto B Salgado, Ph.D.
Affiliations: |
Area:
relativity, computation, pedagogyGoogle:
"Roberto Salgado"Mean distance: (not calculated yet)
Parents
Sign in to add mentorRafael Sorkin | grad student | 2008 | Syracuse | |
(Toward a quantum dynamics for causal sets) |
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Publications
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Leon-Ferre RA, Jonas SF, Salgado R, et al. (2024) Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer. Jama. 331: 1135-1144 |
Rayson VC, Harris MA, Savas P, et al. (2024) The anti-cancer immune response in breast cancer: current and emerging biomarkers and treatments. Trends in Cancer |
Martín M, Yoder R, Salgado R, et al. (2024) Tumor-infiltrating lymphocytes refine outcomes in triple-negative breast cancer treated with anthracycline-free neoadjuvant chemotherapy. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research |
Ly A, Garcia V, Blenman KRM, et al. (2024) Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research. Histopathology |
Sharma P, Stecklein SR, Yoder R, et al. (2023) Clinical and Biomarker Findings of Neoadjuvant Pembrolizumab and Carboplatin Plus Docetaxel in Triple-Negative Breast Cancer: NeoPACT Phase 2 Clinical Trial. Jama Oncology |
Rediti M, Fernandez-Martinez A, Venet D, et al. (2023) Immunological and clinicopathological features predict HER2-positive breast cancer prognosis in the neoadjuvant NeoALTTO and CALGB 40601 randomized trials. Nature Communications. 14: 7053 |
Martins-Branco D, Nader-Marta G, Molinelli C, et al. (2023) Ki-67 index after neoadjuvant endocrine therapy as a prognostic biomarker in patients with ER-positive/HER2-negative early breast cancer: a systematic review and meta-analysis. European Journal of Cancer (Oxford, England : 1990). 194: 113358 |
Steenbruggen TG, Wolf DM, Thijssen B, et al. (2023) Characterization of the Tumor Microenvironment of De Novo Oligometastatic Breast Cancer in a Nationwide Cohort. Jco Precision Oncology. 7: e2200670 |
Thagaard J, Broeckx G, Page DB, et al. (2023) Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group. The Journal of Pathology |
Machiels M, Oulkadi R, Tramm T, et al. (2023) Individualising radiation therapy decisions in breast cancer patients based on tumour infiltrating lymphocytes and genomic biomarkers. Breast (Edinburgh, Scotland). 71: 13-21 |