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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Understanding the formal definition of a limit is essential for precise mathematical analysis. This concept allows us to rigorously determine how a function behaves near a particular point without relying on ambiguous notions such as "getting close." The ε-δ definition plays a foundational role in calculus, ensuring analytical clarity and logical consistency in limit evaluation.The formal definition states that the limit of a function f(x) as x approaches a is L, written asif for...
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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
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Precision Cardio-Oncology.

Alexandra D Dreyfuss1, Paco E Bravo2,3, Constantinos Koumenis1,4

  • 1Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|January 19, 2019
PubMed
Summary
This summary is machine-generated.

Cardio-oncology uses precision medicine and omics approaches to identify biomarkers for early diagnosis and treatment of cardiovascular disease in cancer patients, reducing cardiac complications.

Keywords:
-omicscardio-oncologycardiotoxicityprecision cardio-oncologyprecision medicine

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Area of Science:

  • Cardiology
  • Oncology
  • Precision Medicine

Background:

  • Cancer therapies increase cardiovascular risks in survivors.
  • Cardio-oncology aims to manage these cardiac events.
  • Current management lacks detailed phenotypic data.

Purpose of the Study:

  • To present a precision medicine paradigm for cardiotoxin-exposed cancer patients.
  • To explore the role of -omics in understanding cardiovascular disease phenotypes.
  • To integrate molecular imaging for personalized surveillance and treatment.

Main Methods:

  • Review of current imaging techniques in cardio-oncology.
  • Application of -omics approaches (genomics, proteomics, metabolomics) for deep phenotyping.
  • Integration of molecular imaging for personalized patient care.

Main Results:

  • -Omics approaches show potential in identifying sensitive cardiovascular disease biomarkers.
  • -Omics can advance understanding of disease phenotypes.
  • Molecular imaging can personalize surveillance and therapeutics.

Conclusions:

  • Precision medicine, informed by -omics and molecular imaging, is crucial for managing cardiovascular complications in cancer patients.
  • This approach can reduce cardiovascular morbidity and mortality.
  • Personalized surveillance and therapeutics are key to improving outcomes for cancer survivors.