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International Breast Density & Cancer Risk Assessment Workshop


Day 1

Noriaki Ohuchi, MD, PhD

Professor, Graduate School of Medicine, Tohoku University

Noriaki Ohuchi, MD, PhD, graduated Tohoku University School of Medicine in 1978, and received PhD degree in 1984. He was assigned as a fellow at Laboratory of Tumor Immunology and Biology, National Cancer Institute, NIH, USA from 1984 to 1986, with promoting cancer genomic research. Then, he was appointed as a professor of Tohoku University in 1999, and deserved as the Director of Cancer Center of University Hospital from 2011 to 2012, and the Dean of Graduate School of Medicine, Tohoku University from 2012 to 2015. Professor Ohuchi covers many research fields including oncology, surgery, molecular biology and cancer screening with more than 400 original articles published. In summarizing his carrier activities in the field of cancer screening, the following will be selected, e.g., a chief investigator of national breast cancer screening programs supported by Ministry of Health Labour and Welfare (MHLW) of Japan from 1995, and a chairman of national committee on cancer program in Japan from 2012 to present. Also, he has been a member of the International Breast Cancer Screening Network (IBSN, currently ICSN) from 1997.

Ana Pereira Scalabrino, MD, PhD

Associate Professor at the Center for Research in Food Environments and Prevention of Nutrition-Related Chronic Diseases, Institute of Nutrition and Food Technology

Ana Pereira is an Associate Professor and epidemiologist at the Center for Research in Food Environments and Prevention of Nutrition-Related Chronic Diseases (CIAPEC) at the Institute of Nutrition, University of Chile. She has conducted epidemiological studies in nutrition and cancer prevention, specifically in breast cancer. Currently, she leads the Growth and Obesity Cohort Study (GOCs), a large longitudinal follow-up of 1190 adolescents born in 2002 in Santiago, Chile. Part of her work has been focused on understanding breast development and its composition during puberty, a critical window of susceptibility for breast cancer risk. She is evaluating how nutrition, body composition, diet, and other environmental factors during infancy determine a higher breast density after the onset of menarche but before the first full-time pregnancy. Furthermore, she has been working on models to optimize breast cancer screening schemes in Chile.

Headshot of Dr. Karla Kerlikowske

Karla Kerlikowske, MD

Professor of Medicine and Epidemiology and Biostatistics
University of California, San Francisco

Dr. Karla Kerlikowske is Professor of Medicine and Epidemiology and Biostatistics at University of California, San Francisco and primary care physician at the San Francisco Veterans Affairs Health Care System where she co-Directs the Women’s Comprehensive Health Care Center and Directs the Women’s Health Research fellowship. Her research focuses on breast imaging, breast cancer risk prediction, breast density and epidemiology of invasive breast cancer and DCIS. She is Principal Investigator of the San Francisco Mammography Registry that began collecting breast imaging, risk factor and outcome data in 1994 and participates in the Breast Cancer Surveillance Consortium (BCSC). In addition, she is Co-PI of a BCSC program project grant “Advancing Equitable Risk-based Breast Cancer Screening and Surveillance in Community Practice” that is creating new risk prediction models for screening and surveillance, evaluating AI algorithms for detection and risk prediction, and examining equity of risk models and risk-based screening strategies.

More to be announced…

Day 2

Adetunji Toriola, MD, PhD

Professor of Surgery, 
Division of Public Health Sciences 
Department of Surgery 
Co-Leader, Cancer Prevention and Control Program 
Siteman Cancer Center 
William H. Danforth Washington University Physician Scholar 
Washington University School of Medicine

Dr. Toriola is a Professor of Surgery in the Division of Public Health Sciences, Washington University School of Medicine, St.Louis, MO, and the William H. Danforth Washington University Physician-Scientist Scholar. He co-leads the Cancer Prevention and Control Program at Siteman Cancer Center. His research focuses on characterizing the molecular basis, and determinants of mammographic breast density and breast cancer to identify those that can be targeted in breast cancer prevention, especially in premenopausal women. He is the Principal Investigator on 2 R01s in this research area, including an NCI MERIT Award. He is leading a phase II clinical trial investigating the impact of RANKL inhibition on mammographic breast density and breast tissue/blood markers in premenopausal women with dense breasts. He is also applying omics platforms to understand the molecular mechanisms underlying mammographic breast density in premenopausal women. Dr. Toriola was awarded the 2022 AACR Outstanding Investigator Award for Breast Cancer Research.

Marike Gabrielson, PhD

Department of Medical Epidemiology and Biostatistics
Karolinska Institutet

Marike Gabrielson is a researcher in molecular cancer epidemiology at the Department of Medical Epidemiology and Biostatistics, at Karolinska Institutet, Stockholm, Sweden. Her research focuses on the aetiology of breast cancer and breast cancer risk with an emphasis on the biological mechanisms behind mammographic density as a risk factor for breast cancer. Her current research targets three areas: 1) Understanding the biology of breast cancer risk and identifying biomarkers of risk within the breast and tissue and by hormone and proteomic profiles, 2) Understanding the mechanisms of action of the drug tamoxifen in preventing breast cancer and identifying biomarkers for treatment effects by tamoxifen, and 3) Using biomarkers for tailoring individualised preventive and adjuvant therapy of breast cancer. She is a member of the scientific board in the KARMA breast cancer project (Karolinska Mammography Project for Risk Prediction of Breast Cancer).

Adam Yala, PhD

Assistant Professor of Computational Precision Health, EECS UC Berkeley and UCSF

Adam Yala an assistant professor of Computational Precision Health and EECS at UC Berkeley and UCSF. His research focuses on developing machine learning methods for personalized medicine and translating them to clinical care. His previous research has contributed to three areas: 1) predicting future cancer risk, 2) designing personalized screening policies and 3) private data sharing through neural obfuscation. Adam’s tools underly multiple prospective trails and his research has been featured in the Washington Post, New York Times, Boston Globe and Wired. Prof Yala obtained his BS, MEng and PhD in Computer Science from MIT and he was a member of MIT Jameel Clinic and MIT CSAIL.

Shu (Joy) Jiang, PhD

Associate Professor, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis

Dr. Jiang is a tenured Associate Professor in the Division of Public Health Sciences at Washington University School of Medicine. She has obtained her PhD in Statistics in 2018 at the University of Waterloo, Canada, and subsequently pursued a postdoctoral fellowship in Biostatistics at Harvard School of Public Health. Her research focuses on the development of novel statistical methods for dynamic risk prediction with censored outcomes, especially on feature extraction in high-dimensional time-varying risk factors and images. She is the principal investigator on the R37 NCI MERIT Award focusing on the statistical methodology for dynamic prediction incorporating time-varying covariates for the onset of breast cancer. This year, Dr. Jiang was recognized as a member of the Forbes 30 under 30 in Healthcare for her development of statistical methods for precision oncology with a particular focus on breast cancer.

Headshot of Dr. Neb Duric

Neb Duric, PhD

Professor and Vice Chair of Research
University of Rochester

Neb Duric holds the position of Professor and Vice Chair of Research in the Department of Imaging Sciences at the University of Rochester Medical Center in Rochester, NY, USA. He has championed and used the emerging new imaging modality of ultrasound tomography (UST) to carry out a variety of clinical studies relating to breast cancer detection and risk assessment.

Currently, he is investigating risk factors that can be extracted from UST images, including density and stiffness of breast tissues, as well as features amenable to AI analysis. With recent approval by the FDA for screening of women with dense breasts, UST has the potential to provide the improved risk stratification needed in this population, at time of screening. The long- term goal is to facilitate preventive interventions for high-risk women through integration of UST-based risk factors into clinical risk models for individualized risk assessment.

More to be announced…

Day 3

Jennifer Stone, PhD

A/Prof, University of Western Australia

A/Prof Jennifer Stone is a cancer epidemiologist/biostatistician and Head of the Genetic Epidemiology Group at the University of Western Australia in Perth, Australia. Her research aims to improve breast cancer screening by accumulating translatable evidence for the clinical use of risk factors, like breast density and body mass index, to tailor screening and improve breast cancer outcomes through early diagnosis and risk-reducing strategies. A/Prof Stone is currently leading a National Health and Medical Research Council (NHMRC) Targeted Call for Research project, BreastScreenPlus, investigating a novel intervention targeting obesity-related barriers to mammographic screening. She is also a Chief Investigator within a NHMRC Centre for Research Excellence investigating Precision Public Health Approaches to Breast Cancer Screening, Early Detection and Mortality Reduction. A/Prof Stone also established (and co-chairs) the Australian Breast Density Consumer Advisory Council in 2019 to provide a community perspective on the research activities across Australian institutions interested in breast density research and breast cancer screening.

Headshot of Dr. Mikael Eriksson

Mikael Eriksson, PhD

Department of Medical Epidemiology and Biostatistics
Karolinska Institutet

Mikael Eriksson, PhD, is an epidemiologist at Karolinska Institutet in Sweden. Driven by improving mammography screening to reduce breast cancer mortality, Eriksson specializes in developing individualized risk assessment techniques for identifying women who have suboptimal benefit from screening. He studies women in need of additional screening resources and women who may not benefit at all from mammography screening. In addition, Eriksson is working with exciting projects on developing risk models for identifying women who could benefit from risk reducing interventions. In this area, he also develops imaging biomarkers for risk reducing therapy response and studies early indicators for which women may benefit from prophylactic treatment.

Headshot of Dr. Parisa Tehranifar

Parisa Tehranifar, DrPH

Associate Professor, Epidemiology at Columbia University Irving Medical Center

Parisa Tehranifar is a cancer epidemiologist and health disparities researcher at Columbia University Irving Medical Cener, Mailman School of Public Health. Her research broadly aims to address sources of cancer health disparities with a focus on improving breast cancer prevention and screening in racially and ethnically diverse populations. Her research focuses on improving the implementation of breast cancer screening and prevention in racially and ethnically diverse populations. Dr. Tehranifar’s current studies focuses on improving the implementation of breast cancer risk assessment, and breast cancer screening and decision making in women with family history of breast cancer and mammographically dense breasts and in older women at average risk for breast cancer.

Kimberly Bertrand, ScD

Associate Professor of Medicine Slone Epidemiology Center at Boston University

Kimberly Bertrand is Associate Professor of Medicine at the Boston University Chobanian & Avedisian School of Medicine and an epidemiologist at the Slone Epidemiology Center at Boston University. Dr. Bertrand’s research focuses primarily on the epidemiology of breast cancer, with an emphasis on understanding racial disparities in incidence and outcomes. She is currently Multiple Principal Investigator of the Black Women’s Health Study (BWHS), a prospective cohort study of 59,000 self-identified Black women established in in 1995. Dr. Bertrand is also Principal Investigator of an R01 grant based in the BWHS to evaluate risk factors for high mammographic density, a strong independent predictor of breast cancer, and the role mammographic density and other risk factors may play in tumor aggressiveness in Black women.

More to be announced…

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