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Oncology (Williston Park, N.Y.)|September 17, 2016
What's New in Genetic Testing for Cancer Susceptibility?Jennifer K Plichta, Molly Griffin, Joseph Thakuria, et al.Iscience|October 11, 2023
From quality improvement to equality improvement projects: A scoping review and frameworkJack Gallifant, Molly Griffin, Robin L Pierce, et al.Journal of Genetic Counseling|March 4, 2018
A Clinical Decision Support Tool to Predict Cancer Risk for Commonly Tested Cancer-Related Germline MutationsDanielle Braun, Jiabei Yang, Molly Griffin, et al.Pathobiology : Journal of Immunopathology, Molecular and Cellular Biology|April 22, 2016
The Role of Micro-CT in 3D Histology ImagingMichael Senter-Zapata, Kunal Patel, Pinky A Bautista, et al.The Breast Journal|January 10, 2018
The impact of patient age on breast cancer risk prediction modelsSuzanne B Coopey, Ahmet Acar, Molly Griffin, et al.Breast Cancer Research and Treatment|February 6, 2020
The role of Micro-CT in imaging breast cancer specimensDaniel DiCorpo, Ankur Tiwari, Rong Tang, et al.Irish Journal of Medical Science|March 18, 2021
Familial pancreatic cancer: who should be considered for genetic testing?Kinyas Kartal, Zoe Guan, Rong Tang, et al.Breast Cancer Research and Treatment|January 31, 2018
Machine learning to parse breast pathology reports in ChineseRong Tang, Lizhi Ouyang, Clara Li, et al.Breast Cancer Research and Treatment|April 27, 2017
Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applicationsJessica A Cintolo-Gonzalez, Danielle Braun, Amanda L Blackford, et al.Breast Cancer Research and Treatment|June 8, 2017
Reassessing risk models for atypical hyperplasia: age may not matterEmanuele Mazzola, Suzanne B Coopey, Molly Griffin, et al.Pageof 2