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Culture of Bladder Cancer Organoids as Precision Medicine Tools
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Precision Medicine.

Michael R Kosorok1, Eric B Laber2

  • 1Department of Biostatistics and Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599, U.S.A.; kosorok@unc.edu.

Annual Review of Statistics and Its Application
|May 11, 2019
PubMed
Summary
This summary is machine-generated.

Precision medicine personalizes healthcare using data-driven decisions for optimal patient outcomes. Statistical methods are key for developing effective treatment regimes in this evolving field.

Keywords:
data-driven decision sciencedynamic treatment regimesmachine learningpatient heterogeneitystatistical inference

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Area of Science:

  • Precision medicine integrates diverse scientific fields like drug discovery, genomics, and causal inference.
  • Focuses on data-driven decision-making for individualized patient care.
  • Encompasses genetics, health communication, and advanced statistical methodologies.

Background:

  • Healthcare is increasingly shifting towards personalized approaches.
  • Individualized treatment plans are crucial for managing evolving patient health statuses.
  • Evidence-based practice relies on robust data analysis.

Purpose of the Study:

  • To provide an overview of statistical research in precision medicine.
  • To highlight methodological developments for treatment regime optimization.
  • To identify important and emerging challenges in the field.

Main Methods:

  • Review of statistical methodologies for treatment regime estimation and inference.
  • Focus on decision rules mapping patient data to recommended actions.
  • Exploration of causal inference for evidence-based healthcare.

Main Results:

  • Precision medicine utilizes sequential decision rules for tailored interventions.
  • Statistical research aims to maximize cumulative clinical outcomes.
  • The field is characterized by dynamic methodological advancements.

Conclusions:

  • Statistical research is fundamental to advancing precision medicine.
  • Developing optimal treatment regimes requires sophisticated data analysis.
  • Continued methodological innovation is essential for future healthcare.