Related Experiment Video

Updated: Jan 27, 2026

Obtaining Cancer Stem Cell Spheres from Gynecological and Breast Cancer Tumors
07:01

Obtaining Cancer Stem Cell Spheres from Gynecological and Breast Cancer Tumors

Published on: March 1, 2020

10.8K

Scope and Epidemiology of Gynecologic Cancers: An Overview

Leah R C Ledford1, Suzy Lockwood2

  • 1Clinical Nurse Leader, Atrium Health - Carolinas Medical Center, Charlotte, NC.

Seminars in Oncology Nursing
|March 24, 2019
PubMed
Abstract

Keywords:
cervical cancerfinancial burdengynecologic cancerovarian canceruterine cancervaginal cancervulvar cancer

More Related Videos

OP-IVM: Combining In vitro Maturation after Oocyte Retrieval with Gynecological Surgery05:31

OP-IVM: Combining In vitro Maturation after Oocyte Retrieval with Gynecological Surgery

Published on: May 9, 2021

4.7K
Using the Chicken Chorioallantoic Membrane In Vivo Model to Study Gynecological and Urological Cancers08:13

Using the Chicken Chorioallantoic Membrane In Vivo Model to Study Gynecological and Urological Cancers

Published on: January 28, 2020

11.0K

Related Concept Videos

The Scope of Physics01:17

The Scope of Physics

Physics is concerned with the interactions of energy, matter, space, and time, in order to discover the underlying mechanisms that underpin all phenomena. The word "physics" comes from the Greek word "phúsis", which means nature. Physics seeks to comprehend the natural world around us at its most fundamental level. It emphasizes the use of quantitative laws to do this, which could be valuable in other fields that want to push the performance boundaries of present...
52.8K
Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.8K
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.5K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
944
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
649
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.3K