CYCORE: Cyberinfrastructure for Cancer Comparative Effectiveness Research (Special Webinar)


Wed Jul 30, 2014


Kevin Patrick, UCSD
Susan Peterson, UTexas
Emilia Farcas, Calit2
Eileen Shinn, UTexas


CYCORE (Linked R01)




We propose to create a highly customizable suite of sensors capable of supporting cancer comparative effectiveness research (CER)  in a variety of patients, settings, and clinical trials based on research that we begin in 2010 with the development of an initial highly successful prototype of CYCORE (CYberinfrastructure for Comparative effectiveness Research). CYCORE is innovative because systems that facilitate greater patient engagement with clinicians and researchers, such as those that enable remote and even real-time monitoring of patients' symptoms and other health-related outcomes have almost all been developed and tested in patients with chronic diseases such as diabetes, asthma, heart failure, chronic obstructive pulmonary disease and chronic wound management. We propose to enhance CYCORE by: 1) improving scalability and performance; 2) expanding capability for new sensors and addressing fault tolerance and self-healing; 3) introducing a new cancer control use case for CYCORE; 4) incorporating new algorithms that support the detection and analysis of outcomes important in cancer CER; 5) improving security, privacy and data sharing capabilities of CYCORE; 6) developing and implementing a model for sustainability; and 7) expanding and enriching the community of CYCORE users.


Kevin Patrick, MD, MS, is a Professor of Family and Preventive Medicine in the UCSD School of Medicine and Director of the Center for Wireless and Population Health Systems at UCSD's Qualcomm Institute/Calit2.  His research focuses on the use of information and communication technology to measure and improve health-related behaviors of individuals and populations. He is Director of the Robert Wood Johnson Foundation (RWJF) Health Data Exploration Project and a Senior Advisor to the RWJF Active Living Research program.

Susan K. Peterson, PhD, MPH, is Associate Professor of Behavioral Science at the University of Texas, MD Anderson Cancer Center (MDACC).  Dr. Peterson’s research focuses on psychosocial and behavioral outcomes of genetic testing for hereditary cancer syndromes in cancer survivors and their families, as well as the integration of genetic services into general oncology care. Dr. Peterson's ongoing and completed research has focused on cancer survivors' and families' decision-making about genetic testing and receiving genetic test results, and the subsequent psychological and behavioral impact of those decisions.  Her research encompasses several hereditary cancer syndromes, including hereditary colorectal cancers, hereditary breast and ovarian cancers, and Li-Fraumeni syndrome.  Dr. Peterson also has a major research interest in the development and evaluation of novel, e-Health interventions for pediatric and adult cancer survivors, persons at risk for hereditary cancers, and health care providers. A cross-cutting theme across many of her studies is the integration of technological advances for measurement and monitoring of behavioral outcomes, communication and education, decision-making and psycho-oncology.

Emilia Farcas, PhD, is Assistant Project Scientist at UCSD's Qualcomm Institute/Calit2. Her research interests are in software-engineering methodologies for managing the complexity of cyber-physical systems, focusing on modeling requirements, creating architectures, and service-oriented engineering. Her research is applied in various cyber-infrastructure projects in the fields of health sciences and clinical trials, large-scale oceanographic observatories, and fail-safe automotive systems.

Eileen H. Shinn, PhD, is an assistant professor in the Department of Behavioral Science.  Her research interests include behavioral interventions, especially focusing on adherence, biobehavioral outcomes in cancer, and dissemination of interventions via mobile technologies.  She has been PI of four NIH grants, including an R01 testing an adherence intervention in head and neck cancer patients to reduce rates of late-term dysphagia. Dr. Shinn is collaborating with a DOD Consortium Development Project characterizing biobehavioral factors in long-term versus short-term ovarian cancer survivors.  She is also multi-PI on a newly-funded R01 testing the efficacy of a dehydration sensor in reducing hospitalization rates for head and neck cancer patients during radiation. Finally, she is working with genomic researchers in breast cancer to investigate the interaction of adherence to adjuvant endocrine therapy and tumoral sensitivity to endocrine treatment on outcomes.



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