Modern medicine as well generates increasingly larger data quantities. Reasons for this comprise higher resolution data from state-of-the-art diagnostic methods like magnetic resonance imaging (MRI), IT controlled medical technology, comprehensive medical documentation and the ever more detailed knowledge about the human genome. A case in point: personalised cancer therapy. There, increasing use of software aims at taking terabytes of data from clinical, molecular and medication data in diverse formats and distilling from them effective treatment options for each individual patient in real-time, in order to significantly improve treatment results. Within the Smart Data Innovation Lab (SDIL) Data Innovation Community “Personalised Medicine”,...
The aim of scientific research is to analyze the problems of medicine and to examine the regularitie...
New digital technologies can have a huge impact on the traditional healthcare sector, both from a cl...
The purpose of deliverable 8.2 is to describe the data types pertinent for personalised medicine and...
This chapter examines the challenges posed by technological breakthroughs, including the complexity ...
Research and innovation are constant imperatives for the healthcare sector: medicine, biology and bi...
Healthcare is undergoing a transformation, and it is imperative to leverage new technologies to gene...
Abstract While the promise of the Human Genome Project provided significant insights into the struct...
This article is about a new project that combines clinical data intelligence and smart data. It prov...
Personalised medicine involves new ways of classifying and stratifying people, in terms of both exis...
This paper focuses on clinical data taken from diversified sources that can be utilized to predict m...
Personalised medicine promises prediction, prevention and treatment of illness that is targeted to i...
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2018.Cataloged fr...
The life science sector is continually changing due to technological breakthroughs, research, and de...
Precision medicine is at the forefront of innovation in cancer care. With the development of technol...
Personalised Medicine has become a reality over the last years. The emergence of ‘omics’ and big dat...
The aim of scientific research is to analyze the problems of medicine and to examine the regularitie...
New digital technologies can have a huge impact on the traditional healthcare sector, both from a cl...
The purpose of deliverable 8.2 is to describe the data types pertinent for personalised medicine and...
This chapter examines the challenges posed by technological breakthroughs, including the complexity ...
Research and innovation are constant imperatives for the healthcare sector: medicine, biology and bi...
Healthcare is undergoing a transformation, and it is imperative to leverage new technologies to gene...
Abstract While the promise of the Human Genome Project provided significant insights into the struct...
This article is about a new project that combines clinical data intelligence and smart data. It prov...
Personalised medicine involves new ways of classifying and stratifying people, in terms of both exis...
This paper focuses on clinical data taken from diversified sources that can be utilized to predict m...
Personalised medicine promises prediction, prevention and treatment of illness that is targeted to i...
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2018.Cataloged fr...
The life science sector is continually changing due to technological breakthroughs, research, and de...
Precision medicine is at the forefront of innovation in cancer care. With the development of technol...
Personalised Medicine has become a reality over the last years. The emergence of ‘omics’ and big dat...
The aim of scientific research is to analyze the problems of medicine and to examine the regularitie...
New digital technologies can have a huge impact on the traditional healthcare sector, both from a cl...
The purpose of deliverable 8.2 is to describe the data types pertinent for personalised medicine and...