Systems Biology and New Technologies Enable Predictive and Preventative Medicine

By Leroy Hood, J. Heath, M. Phelps, B. Lin. Science, 2004

1,088 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f53eb0da5aa80eeb691ae04acae62b73045921b3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

Citations in the corpus

Systems biology of cisplatin resistance: past, present and future (2014, result): “This approach has obvious clinical implications because it may lead to the identification of patient subgroups that will benefit from treatment, and hence allow for the implementation of personalized medicine.(292) Moreover, the identification of genetic backgrounds that influence the antineoplastic”
A review of imaging techniques for systems biology (2008, background): “PET tracers based on this process would serve to validate this finding and may allow for the identification of prostate cancer metastasis [11].”
Mining electronic health records: towards better research applications and clinical care (2012, background): “Systems-level analyses can drastically reduce the combinatorial problem by grouping individual genetic variants that affect the same molecular machinery, thus increasing the feasibility of turning EHR data into valuable clinical markers relative to single-gene approaches 88,89 .”
Genetic Mapping in Human Disease (2008, background): “Systems biology provides novel experimental approaches to quantify molecular components of a biologic system, to assess their interactions, and to integrate such information into graphic models that may explain or predict emergent phenomena ( 23 ).”
The Personal Genome Project (2005, positive): “As DNA is only a small part of destiny, personal genomics might fruitfully de-emphasize ‘prediction’ and focus on augmenting systems biology interpretations and prioritizations of actual day-to-day measurements of our physiological states (Hood et al, 2004).”
Systems medicine: the future of medical genomics and healthcare (2009, background): “Here we review how medical genomics [22,23], based on recent advances in high-throughput experimental and computational technologies, is evolving in the context of systems biology into a more prospective systems medicine [24-31].”
What is Systems Biology? (2010, background): “This ultimate aim will also help to achieve some of the more speciﬁ c, but no less ambitious, aims of systems biology, such as the provision of personalized medicine (Hood et al., 2004).”
Forest tree genomics: 10 achievements from the past 10 years and future prospects (2016, methodology): “In addition, biological network modeling could be used to predict the phenotypic changes resulting from changes to gene expression, thereby accelerating hypothesis-driven research for the development of new breeding applications, as already described in the field of medical research (Hood et al. 200”
Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression. (2005, background): “To begin to understand prostate cancer progression with a systems perspective, we need to characterize and integrate the molecular components involved (Grubb et al., 2003; Hood et al., 2004; Paweletz et al., 2001; Petricoin et al., 2002).”
A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. (2012, methodology): “Please cite this article in press as: Hood, L., and Flores, M., A personal view on systems medic participatory, New Biotechnol. (2012), doi:10.”