Big data and comparative effectiveness research methodologies can be applied within the framework of a rapid-learning health-care system (RLHCS) to accelerate discovery and to help turn the dream of fully personalized medicine into a reality. We synthesize recent advances in genomics with trends in big data to provide a forward-looking perspective on the potential of new advances to usher in an era of personalized radiation therapy, with emphases on the power of RLHCS to accelerate discovery and the future of individualized radiation treatment planning
PURPOSE: An overview of the Rapid Learning methodology, its results, and the potential impact on rad...
Purpose An overview of the Rapid Learning methodology, its results, and the potential impact on radi...
Technology has a pivotal role in the continuous development of radiotherapy. The long road toward mo...
Radiation oncology is uniquely positioned to harness the power of big data as vast amounts of data a...
Data collected and generated by radiation oncology can be classified by the Volume, Variety, Velocit...
Healthcare is becoming more expensive, more complex and more personalised. Efficient and faster rese...
As high-throughput approaches in biological and biomedical research are transforming the life scienc...
The term Big Data has come to encompass a number of concepts and uses within medicine. This paper la...
Radiogenomics is the study of the link between germ line genotypic variations and the large clinical...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146459/1/mp12817.pdfhttps://deepblue.l...
Although large volumes of information are entered into our electronic health care records, radiation...
From PubMed via Jisc Publications RouterHistory: received 2021-04-26, revised 2021-09-02, accepted 2...
Radiation oncology is 1 of the most structured disciplines in medicine. It is of a highly technical ...
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
PURPOSE: An overview of the Rapid Learning methodology, its results, and the potential impact on rad...
Purpose An overview of the Rapid Learning methodology, its results, and the potential impact on radi...
Technology has a pivotal role in the continuous development of radiotherapy. The long road toward mo...
Radiation oncology is uniquely positioned to harness the power of big data as vast amounts of data a...
Data collected and generated by radiation oncology can be classified by the Volume, Variety, Velocit...
Healthcare is becoming more expensive, more complex and more personalised. Efficient and faster rese...
As high-throughput approaches in biological and biomedical research are transforming the life scienc...
The term Big Data has come to encompass a number of concepts and uses within medicine. This paper la...
Radiogenomics is the study of the link between germ line genotypic variations and the large clinical...
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146459/1/mp12817.pdfhttps://deepblue.l...
Although large volumes of information are entered into our electronic health care records, radiation...
From PubMed via Jisc Publications RouterHistory: received 2021-04-26, revised 2021-09-02, accepted 2...
Radiation oncology is 1 of the most structured disciplines in medicine. It is of a highly technical ...
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
Big data are no longer an obstacle; now, by using artificial intelligence (AI), previously undiscove...
PURPOSE: An overview of the Rapid Learning methodology, its results, and the potential impact on rad...
Purpose An overview of the Rapid Learning methodology, its results, and the potential impact on radi...
Technology has a pivotal role in the continuous development of radiotherapy. The long road toward mo...