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Videos de Conceptos Relacionados

Polygenic Traits01:18

Polygenic Traits

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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
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Imaging Studies I: CT and MRI01:14

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
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Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
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Enfoques de aprendizaje profundo multimodal para mejorar las puntuaciones de riesgo poligénico con datos de imagen

Hyeongmu Kim1, Geon Lee1, Wonil Chung2,3

  • 1Department of Statistics and Actuarial Science, Soongsil University, Seoul, 06978, Korea.

Scientific reports
|January 6, 2026
PubMed
Resumen

La integración de puntuaciones de imagen de aprendizaje profundo con datos genéticos y clínicos mejora significativamente la precisión de la predicción del glaucoma. Las puntuaciones de aprendizaje profundo derivadas de imágenes (IDS) muestran un fuerte poder predictivo y las puntuaciones genéticas pueden sustituir a los datos de imagen cuando no están disponibles.

Sus antecedentes:

  • Las puntuaciones de riesgo poligénico (PRS) tienen limitaciones en la predicción del riesgo de enfermedades.
Palabras clave:
aprendizaje profundopredicción de glaucomapuntuaciones de aprendizaje profundo derivadas de imágenesfenotipos derivados de imágenesenfoque multimodalpuntuación de riesgo poligénico (PRS)

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  • Los datos de imagen capturan variaciones fenotípicas cruciales para la predicción de enfermedades.
  • La predicción del riesgo de glaucoma puede beneficiarse de la integración de datos multimodales.
  • Conclusiones:

    • Las características de imagen basadas en aprendizaje profundo son efectivas para la predicción del riesgo de glaucoma.
    • La integración de datos genéticos, de imagen y clínicos mejora significativamente la precisión predictiva.
    • Las IGS ofrecen una alternativa valiosa para la evaluación del riesgo de glaucoma en entornos donde faltan datos de imagen.