Kimberly S. Cole

Medical Genetics
5841 S Maryland Ave
Chicago,, IL 60637

Last Updated: 09/26/2026

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Found 13 publications

Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features.

Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features.

Journal: Science advances
Published: November 15, 2024

A pooled analysis evaluating prognostic significance of Residual Cancer Burden in invasive lobular breast cancer.

A pooled analysis evaluating prognostic significance of Residual Cancer Burden in invasive lobular breast cancer.

Journal: NPJ breast cancer
Published: July 03, 2024

Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features.

Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features.

Journal: bioRxiv : the preprint server for biology
Published: April 08, 2024

Deep learning generates synthetic cancer histology for explainability and education.

Deep learning generates synthetic cancer histology for explainability and education.

Journal: NPJ precision oncology
Published: January 13, 2023

Tumor immune microenvironment of self-identified African American and non-African American triple negative breast cancer.

Tumor immune microenvironment of self-identified African American and non-African American triple negative breast cancer.

Journal: NPJ breast cancer
Published: September 04, 2021

Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients.

Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients.

Journal: The Lancet. Oncology
Published: July 29, 2021

An Open-Source, Automated Tumor-Infiltrating Lymphocyte Algorithm for Prognosis in Triple-Negative Breast Cancer.

An Open-Source, Automated Tumor-Infiltrating Lymphocyte Algorithm for Prognosis in Triple-Negative Breast Cancer.

Journal: Clinical cancer research : an official journal of the American Association for Cancer Research
Published: January 27, 2021

Immunological Differences Between Immune-Rich Estrogen Receptor-Positive and Immune-Rich Triple-Negative Breast Cancers.

Immunological Differences Between Immune-Rich Estrogen Receptor-Positive and Immune-Rich Triple-Negative Breast Cancers.

Journal: JCO precision oncology
Published: May 26, 2020

High frequency of p16 and SOX10 coexpression but not androgen receptor expression in triple-negative breast cancers.

High frequency of p16 and SOX10 coexpression but not androgen receptor expression in triple-negative breast cancers.

Journal: Human pathology
Published: March 16, 2020

Prospective multi-institutional evaluation of pathologist assessment of PD-L1 assays for patient selection in triple negative breast cancer.

Prospective multi-institutional evaluation of pathologist assessment of PD-L1 assays for patient selection in triple negative breast cancer.

Journal: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Published: February 02, 2020

Re-Evaluating E-Cadherin and β-Catenin: A Pan-Cancer Proteomic Approach with an Emphasis on Breast Cancer.

Re-Evaluating E-Cadherin and β-Catenin: A Pan-Cancer Proteomic Approach with an Emphasis on Breast Cancer.

Journal: The American journal of pathology
Published: February 01, 2018

IDH2 Mutations Define a Unique Subtype of Breast Cancer with Altered Nuclear Polarity.

IDH2 Mutations Define a Unique Subtype of Breast Cancer with Altered Nuclear Polarity.

Journal: Cancer research
Published: February 03, 2016
Showing 1-12 of 13

Last Updated: 09/26/2026