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Annual Review of Sex Research|July 3, 2003
Child sexual abuse: associations with the sexual functioning of adolescents and adultsTamra Burns Loeb, John K Williams, Jennifer Vargas Carmona, et al.
Diagnostics (Basel, Switzerland)|August 12, 2023
A CT-Based Clinical, Radiological and Radiomic Machine Learning Model for Predicting Malignancy of Solid Renal Tumors (UroCCR-75)Cassandre Garnier, Loïc Ferrer, Jennifer Vargas, et al.
AIDS and Behavior|February 4, 2005
The efficacy of an integrated risk reduction intervention for HIV-positive women with child sexual abuse historiesGail E Wyatt, Douglas Longshore, Dorothy Chin, et al.
AIDS and Behavior|February 16, 2006
Severity of child sexual abuse, post- traumatic stress and risky sexual behaviors among HIV-positive womenHector F Myers, Gail E Wyatt, Tamra Burns Loeb, et al.
Cancers|April 14, 2025
FDG-PET/CT and Multimodal Machine Learning Model Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Triple-Negative Breast CancerDavid Groheux, Loïc Ferrer, Jennifer Vargas, et al.
American Journal of Public Health|March 29, 2002
Does a history of trauma contribute to HIV risk for women of color? Implications for prevention and policyGail E Wyatt, Hector F Myers, John K Williams, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|February 1, 2018
Factors Associated with False Positive Results on Screening Mammography in a Population of Predominantly Hispanic WomenJulia E McGuinness, William Ueng, Meghna S Trivedi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 10, 2016
Barriers and Facilitators to Patient-Provider Communication When Discussing Breast Cancer Risk to Aid in the Development of Decision Support ToolsHaeseung Yi, Tong Xiao, Parijatham S Thomas, et al.
Future Oncology (London, England)|August 14, 2023
The prognostic value of radiomic features in liver-limited metastatic colorectal cancer patients from the TRIBE2 studyFederica Marmorino, Lorenzo Faggioni, Daniele Rossini, et al.
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