From big data analysis to personalized medicine for all: challenges and opportunities
Recent advances in high-throughput technologies have led to the emergence of systems
biology as a holistic science to achieve more precise modeling of complex diseases. Many …
biology as a holistic science to achieve more precise modeling of complex diseases. Many …
The 'prime-ome': towards a holistic approach to priming
Plants can be primed to respond faster and more strongly to stress and multiple pathways,
specific for the encountered challenge, are involved in priming. This adaptability of priming …
specific for the encountered challenge, are involved in priming. This adaptability of priming …
Knowledge discovery and interactive data mining in bioinformatics-state-of-the-art, future challenges and research directions
Background The life sciences, biomedicine and health care are increasingly turning into a
data intensive science [2–4]. Particularly in bioinformatics and computational biology we …
data intensive science [2–4]. Particularly in bioinformatics and computational biology we …
Omics-based strategies in precision medicine: toward a paradigm shift in inborn errors of metabolism investigations
The rise of technologies that simultaneously measure thousands of data points represents
the heart of systems biology. These technologies have had a huge impact on the discovery …
the heart of systems biology. These technologies have had a huge impact on the discovery …
From smart health to smart hospitals
Prolonged life expectancy along with the increasing complexity of medicine and health
services raises health costs worldwide dramatically. Advancements in ubiquitous computing …
services raises health costs worldwide dramatically. Advancements in ubiquitous computing …
A systems approach to clinical oncology uses deep phenotyping to deliver personalized care
Cancer encompasses a complex, heterogeneous and dynamic group of diseases that arise
from perturbations to multiple biological networks within the body. A systems biology-based …
from perturbations to multiple biological networks within the body. A systems biology-based …
[HTML][HTML] Reproducibility2020: progress and priorities
LP Freedman, G Venugopalan, R Wisman - F1000Research, 2017 - ncbi.nlm.nih.gov
The preclinical research process is a cycle of idea generation, experimentation, and
reporting of results. The biomedical research community relies on the reproducibility of …
reporting of results. The biomedical research community relies on the reproducibility of …
Implementing the FAIR Data Principles in precision oncology: review of supporting initiatives
C Vesteghem, RF Brøndum, M Sønderkær… - Briefings in …, 2020 - academic.oup.com
Compelling research has recently shown that cancer is so heterogeneous that single
research centres cannot produce enough data to fit prognostic and predictive models of …
research centres cannot produce enough data to fit prognostic and predictive models of …
Information practices for sustainability: Role of iSchools in achieving the UN sustainable development goals (SDGs)
G Chowdhury, K Koya - Journal of the Association for …, 2017 - Wiley Online Library
In September 2015, the United Nations (UN) General Assembly passed a resolution
identifying 17 Sustainable Development Goals (SDGs) and 169 associated targets, and …
identifying 17 Sustainable Development Goals (SDGs) and 169 associated targets, and …
[PDF][PDF] Big data and environmental sustainability: a conversation starter
A Keeso - Smith School of Enterprise and the Environment …, 2014 - academia.edu
Big data, referring broadly to,“the ability of society to harness information in novel ways to
produce useful insights or goods and services of significant value”(Mayer-Schönberger and …
produce useful insights or goods and services of significant value”(Mayer-Schönberger and …