Brian W. Drohan, Ph.D.
Affiliations: | 2010 | University of Massachusetts Lowell, Lowell, MA, United States |
Area:
Biomedical Engineering, OncologyGoogle:
"Brian Drohan"Parents
Sign in to add mentor| Georges Grinstein | grad student | 2010 | UMass Lowell | |
| (Techniques for the large scale risk assessment of hereditary breast and ovarian cancer.) | ||||
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Publications
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| Yin K, Singh P, Drohan B, et al. (2020) Breast imaging, breast surgery, and cancer genetics in the age of COVID-19. Cancer |
| Edelman EA, Lin BK, Doksum T, et al. (2014) Implementation of an electronic genomic and family health history tool in primary prenatal care. American Journal of Medical Genetics. Part C, Seminars in Medical Genetics. 166: 34-44 |
| Edelman EA, Lin BK, Doksum T, et al. (2014) Evaluation of a novel electronic genetic screening and clinical decision support tool in prenatal clinical settings. Maternal and Child Health Journal. 18: 1233-45 |
| Polubriaginof FCG, Drohan B, Bosinoff P, et al. (2014) Implications of following the guidelines for genetic testing and MRI use for breast cancer. Journal of Clinical Oncology. 32: 1549-1549 |
| Lin BK, Edelman E, McInerney JD, et al. (2013) Personalizing prenatal care using family health history: identifying a panel of conditions for a novel electronic genetic screening tool. Personalized Medicine. 10: 307-318 |
| Drohan B, Hughes KS. (2013) Breast cancer risk assessment: How risk models can "overdiagnose" risk. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology. 31: 184 |
| Chipman J, Drohan B, Blackford A, et al. (2013) Providing access to risk prediction tools via the HL7 XML-formatted risk web service. Breast Cancer Research and Treatment. 140: 187-93 |
| Ozanne EM, Drohan B, Bosinoff P, et al. (2013) Which risk model to use? Clinical implications of the ACS MRI screening guidelines. Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association For Cancer Research, Cosponsored by the American Society of Preventive Oncology. 22: 146-9 |
| Buckley JM, Coopey SB, Sharko J, et al. (2012) The feasibility of using natural language processing to extract clinical information from breast pathology reports. Journal of Pathology Informatics. 3: 23 |
| Drohan B, Roche CA, Cusack JC, et al. (2012) Hereditary breast and ovarian cancer and other hereditary syndromes: using technology to identify carriers. Annals of Surgical Oncology. 19: 1732-7 |