Dementia

Wagle, Suvarna; Wagle, Ajay; Berríos, Germán E.

doi:10.4135/9780857025753.n65

Cited by 2 publications

(2 citation statements)

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“…Several thousand patients with metastatic breast cancer have registered to share their data for research. 27 A similar participation response was recently obtained by the National Institutes of Health (NIH) with their All of Us study. 28 Patients’ desire for new knowledge about their disease often outweighs their privacy concerns.…”

Section: Privacy and Data Sharingmentioning

confidence: 70%

Susan G. Komen Big Data for Breast Cancer Initiative: How Patient Advocacy Organizations Can Facilitate Using Big Data to Improve Patient Outcomes

Jourquin

Reffey

Jernigan

et al. 2019

JCO Precision Oncology

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Integrating different types of data, including electronic health records, imaging data, administrative and claims databases, large data repositories, the Internet of Things, genomics, and other omics data, is both a challenge and an opportunity that must be tackled head on. We explore some of the challenges and opportunities in optimizing data integration to accelerate breast cancer discovery and improve patient outcomes. Susan G. Komen convened three meetings (2015, 2017, and 2018) with various stakeholders to discuss challenges, opportunities, and next steps to enhance the use of big data in the field of breast cancer. Meeting participants agreed that big data approaches can enhance the identification of better therapies, improve outcomes, reduce disparities, and optimize precision medicine. One challenge is that databases must be shared, linked with each other, standardized, and interoperable. Patients want to be active participants in research and their own care, and to control how their data are used. Many patients have privacy concerns and do not understand how sharing their data can help to effectively drive discovery. Public education is essential, and breast cancer researchers who are skilled in using and analyzing big data are needed. Patient advocacy groups can play multiple roles to help maximize and leverage big data to better serve patients. Komen is committed to educating patients on big data issues, encouraging data sharing by all stakeholders, assisting in training the next generation of data science breast cancer researchers, and funding research projects that will use real-life data in real time to revolutionize the way breast cancer is understood and treated.

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Section: Privacy and Data Sharingmentioning

confidence: 70%

Susan G. Komen Big Data for Breast Cancer Initiative: How Patient Advocacy Organizations Can Facilitate Using Big Data to Improve Patient Outcomes

Jourquin

Reffey

Jernigan

et al. 2019

JCO Precision Oncology

View full text Add to dashboard Cite

show abstract

“…Indeed, judging by the fact that äryas and their principal adversaries, däsas, spoke mutually intelligible tongues (Parpóla 1988;Erdosy 1989), Indo-Aryan dialects must have been predominant in this region by 1500 B.C.. Later texts testify to the expansion of the Vedic universe to include the Indo-Gangetic Divide in later books of the Rgveda (datable to roughly 1000 B.C. With the consciousness of linguistic differences comes the crystallisation of ethnic groups and the social order, observable in the Dharmasästras as well as in the earliest Buddhist tradition (Wagle 1966). Vague references to "uncouth'V'hostile" speech (mrdhra-väc) 22 in the Rgveda are replaced by the acknowledgement of regional characteristics (Witzel 1989) with the simultaneous veneration of northwestern forms of speech helping to pinpoint the direction of the spread.…”

Section: Old Indo-aryan Dialects In South Asiamentioning

confidence: 99%

1. Language, material culture and ethnicity: Theoretical perspectives

Erdosy¹

The Indo-Aryans of Ancient South Asia

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Dementia

Cited by 2 publications

References 0 publications

Susan G. Komen Big Data for Breast Cancer Initiative: How Patient Advocacy Organizations Can Facilitate Using Big Data to Improve Patient Outcomes

Susan G. Komen Big Data for Breast Cancer Initiative: How Patient Advocacy Organizations Can Facilitate Using Big Data to Improve Patient Outcomes

1. Language, material culture and ethnicity: Theoretical perspectives

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