Results 91 to 100 of about 22,742,798 (333)
Molecular Oncology, EarlyView.This nationwide study evaluated KRAS and NRAS mutations in 10 754 Turkish patients with metastatic colorectal cancer. The results revealed a mutation frequency of 51.1%, with 46.6% having KRAS mutations, 4.5% having NRAS mutations, and 48.5% being wild‐type for both.
Gozde Kavgaci +6 more
wiley +1 more source
Privacy preservation techniques in big data analytics: a survey
Journal of Big Data, 2018 Incredible amounts of data is being generated by various organizations like hospitals, banks, e-commerce, retail and supply chain, etc. by virtue of digital technology.
P. Ram Mohan Rao +2 more
doaj +1 more source
Big Data Privacy: Challenges to Privacy Principles and Models [PDF]
Data Science and Engineering, 2015 Abstract This paper explores the challenges raised by big data in privacy-preserving data management. First, we examine the conflicts raised by big data with respect to preexisting concepts of private data management, such as consent, purpose limitation, transparency and individual rights of access, rectification and erasure.
Soria-Comas, Jordi +1 more
openaire +2 more sources
Molecular Oncology, EarlyView.Comprehensive cancer centre (CCCs) and CCCs of Excellence (CCCoE) integration in healthcare. Through outreach to surrounding community hospitals, CCCs enable wider access to top‐clinical cancer treatments and care, thereby facilitating the swift enrolment of patients into data‐rich clinical trials (PI‐initiated trials testing new concepts, drug ...
Anton Berns +4 more
wiley +1 more source
Big Privacy: Challenges and Opportunities of Privacy Study in the Age of Big Data
IEEE Access, 2016 One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. We believe the forthcoming solutions and theories of big data privacy root from the in place research output of the privacy ...
Shui Yu
doaj +1 more source
A Unified Framework for Quantifying Privacy Risk in Synthetic Data [PDF]
arXiv, 2022 Synthetic data is often presented as a method for sharing sensitive information in a privacy-preserving manner by reproducing the global statistical properties of the original data without disclosing sensitive information about any individual. In practice, as with other anonymization methods, privacy risks cannot be entirely eliminated.
arxiv
Big Data and the Ethical Implications of Data Privacy in Higher Education Research
Sustainability, 2020 Despite the claimed worth and huge interest regarding the increasing volumes of complex data sets and the rewarding promise to improve research, there is, however, a growing concern regarding data privacy that affects both qualitative and quantitative ...
Diana Florea, S. Florea
semanticscholar +1 more source
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
, 2019 The United States famously lacks a comprehensive federal data privacy law. In the past year, however, over half the states have proposed broad privacy bills or have established task forces to propose possible privacy legislation. Meanwhile, congressional
Chander, Anupam +2 more
core +1 more source
Dicing with data: the risks, benefits, tensions and tech of health data in the iToBoS project
Frontiers in Digital HealthThis paper will discuss the European funded iToBoS project, tasked by the European Commission to develop an AI diagnostic platform for the early detection of skin melanoma.
Niamh Aspell +2 more
doaj +1 more source