Systems Cancer Medicine: Towards Realization of Predictive, Preventive, Personalized, and Participatory (P4) Medicine
By Qingchao Tian, N. Price, L. Hood. 2012
230 citations recorded by the source corpus.
Abstract. Tian Q, Price ND, Hood L (Institute for Systems Biology, Seattle, WA, USA). Systems cancer medicine: towards realization of predictive, preventive, personalized and participatory (P4) medicine (Key Symposium). J Intern Med 2012; 271: 111–121.
Subfields: Cancer Research, Molecular Biology, Reproductive Medicine
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Citations in the corpus
- What do we need to build explainable AI systems for the medical domain? (2017, positive): “Here, toolsets are urgently needed to support the bidirectional interaction with computational multiscale analysis and modelling to help to go towards the far-off goal of future medicine 7 (Hood and Friend, 2011; Tian et al., 2012).”
- Time series forecasting for nonlinear and non-stationary processes: a review and comparative study (2015, background): “Similarly, with the nation’s annual healthcare costs exceeding $2 trillion, the U.S. health industry is moving away from reactive disease control in favor of preventative medicine (e.g., P4—Predictive, Preventive, Personalized, and Participatory Medicine paradigm; Tian et al. (2012)).”
- Cell Stiffness Is a Biomarker of the Metastatic Potential of Ovarian Cancer Cells (2012, background): “Establishing the relative metastatic potential of cancer cells is an important factor in the design of optimal strategies in the personalized treatment of cancer [48].”