نتایج جستجو برای: gail risk model

تعداد نتایج: 2934993  

2005
Eddy Arnold Yulia V. Frenkel Deena A. Oren Scott A. Hughes Denise A. Elsasser Arthur D. Clark Yoshiro Yoneda David Owen Filip Glavan Esben Lorentzen Martin Jinek Judith Ebert

MS36.26.5 Acta Cryst. (2005). A61, C51 Structure-based Vaccine Design of Human Rhinovirus: HIV Chimeras as Candidate AIDS Vaccines Eddy Arnold, Yulia V. Frenkel, Deena A. Oren, Scott A. Hughes, Denise A. Elsasser, Arthur D. Clark Jr., Paola A. Velasco, Jianping Ding, Gail Ferstandig Arnold. Center for Advanced Biotechnology and Medicine, and Department of Chemistry and Chemical Biology, Rutgers...

Journal: :Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 1996
I M Lipkus B K Rimer T S Strigo

This study examined the relationships among objective and subjective risk for breast cancer and mammography stages of change as defined by the Transtheoretical Model. Women who had higher objective risk of breast cancer, as defined by the Gail et al. algorithm (M. H. Gail et al., J. Natl. Cancer Inst., 81: 1879-1886, 1989), were more likely to perceive themselves at greater subjective risk for ...

2005
Isaac M. Lipkus Barbara K. Rimer Tarn S. Strigo

This study examined the relationships among objective and subjective risk for breast cancer and mammography stages of change as defined by the Transtheoretical Model. Women who had higher objective risk of breast cancer, as defined by the Gail et al. algorithm (M. H. Gail et aL, J. Nati. Cancer Inst., 81: 1879-1886, 1989), were more likely to perceive themselves at greater subjective risk for b...

Journal: :Endocrine-related cancer 2005
C J Fabian B F Kimler M S Mayo S A Khan

Breast tissue and duct fluid provide a rich source of biomarkers to both aid in the assessment of short-term risk of developing breast cancer and predict and assess responses to prevention interventions. There are three methods currently being utilized to sample breast tissue in asymptomatic women for risk assessment: nipple-aspirate fluid (NAF), random periareolar fine-needle aspiration (RPFNA...

Journal: :Cancer prevention research 2013
Henry J Folse Linda E Green Andrea Kress Richard Allman Tuan A Dinh

Genetic testing of seven single-nucleotide polymorphisms (7SNP) can improve estimates of risk of breast cancer relative to the Gail risk test alone, for the purpose of recommending MRI screening for women at high risk. A simulation of breast cancer and health care processes was used to conduct a virtual trial comparing the use of the 7SNP test with the Gail risk test to categorize patients by r...

Journal: :Journal of the National Cancer Institute 2000
C J Fabian B F Kimler C M Zalles J R Klemp S Kamel S Zeiger M S Mayo

BACKGROUND : Biomarkers are needed to refine short-term breast cancer risk estimates from epidemiologic models and to measure response to prevention interventions. The purpose of our study was to determine whether the cytologic appearance of epithelial cells obtained from breast random periareolar fine-needle aspirates or molecular marker expression in these cells was associated with later brea...

2000
Carol J. Fabian Bruce F. Kimler Carola M. Zalles Jennifer R. Klemp Sahar Kamel Sandy Zeiger Matthew S. Mayo

Background: Biomarkers are needed to refine short-term breast cancer risk estimates from epidemiologic models and to measure response to prevention interventions. The purpose of our study was to determine whether the cytologic appearance of epithelial cells obtained from breast random periareolar fine-needle aspirates or molecular marker expression in these cells was associated with later breas...

Journal: :Journal of cellular biochemistry. Supplement 1993
M T Ruffin D A August G J Kelloff C W Boone B L Weber D E Brenner

Early phase chemoprevention trials differ from standard therapeutic clinical trials because asymptomatic, healthy people are treated with a potentially toxic intervention for a prolonged period of time. Current subject selection protocols have relied upon epidemiological methods to identify high-risk individuals. Most available data provide risk estimates for various individual risk factors, bu...

2017
Boris Ivanovic Yuke Zhu Animesh Garg Silvio Savarese

Imitation learning is a branch of reinforcement learning that aims to train an agent to imitate an expert’s behaviour, with no explicit reward signal or knowledge of the world. Generative Adversarial Imitation Learning (GAIL) is a recent model that performs this very well, in a data-efficient manner. However, it has only been used with low-level, low-dimensional state information, with few resu...

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