Personalized medicine

Precision medicine

January 25, 2022 — November 6, 2022

faster pussycat
graphical models
how do science
machine learning
Figure 1

C&C quantified self, biomarker tracking.

1 References

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Corti, Reddy, Choi, et al. 2015. The Researcher as Experimental Subject: Using Self-Experimentation to Access Experiences, Understand Social Phenomena, and Stimulate Reflexivity.” Integrative Psychological and Behavioral Science.
Daskalova, Desingh, Papoutsaki, et al. 2017. Lessons Learned from Two Cohorts of Personal Informatics Self-Experiments.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
Fitzmaurice, and Ravichandran. 2008. A Primer in Longitudinal Data Analysis.” Circulation.
Heyen. 2020. From Self-Tracking to Self-Expertise: The Production of Self-Related Knowledge by Doing Personal Science.” Public Understanding of Science.
Karkar, Zia, Vilardaga, et al. 2016. A Framework for Self-Experimentation in Personalized Health.” Journal of the American Medical Informatics Association.
Lipkovich, Dmitrienko, and B. 2017. Tutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials.” Statistics in Medicine.
Marshall, Sharpe, and Ward. 2016. Cell & Gene Therapies and the Evolving Role of Personalized Medicine.” Cell and Gene Therapy Insights.
Nair. 2010. Personalized Medicine: Striding from Genes to Medicines.” Perspectives in Clinical Research.
Tukia. 2018. The Arrival of Gene Therapy and Personalized Medicine.” Clinical Trials Arena (blog).
Westerman, Reaver, Roy, et al. 2018. Longitudinal Analysis of Biomarker Data from a Personalized Nutrition Platform in Healthy Subjects.” Scientific Reports.
Zenner, Böttinger, and Konigorski. 2022. StudyMe: A New Mobile App for User-Centric N-of-1 Trials.” Trials.