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Infection01:20

Infection

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When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
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Urinary Tract Infection II: Pathophysiology01:25

Urinary Tract Infection II: Pathophysiology

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The pathophysiology of urinary tract infections (UTIs) encompasses several progressive stages, beginning with bacterial colonization and culminating in potential systemic complications if untreated. UTIs are primarily initiated by bacteria, such as Escherichia coli, which often originate from the gastrointestinal tract and migrate to the urinary system through the periurethral area. This migration can occur via several routes, including improper hygiene practices, sexual activity, or...
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Cystic Fibrosis: Pathogenesis01:23

Cystic Fibrosis: Pathogenesis

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Cystic fibrosis (CF), an autosomal recessive disorder, significantly affects the function of exocrine glands. This genetically inherited disease is characterized by the production of thick and sticky mucus, which can severely affect various organs and systems in the body.
CF is primarily caused by a genetic mutation in a chromosome 7 gene coding for the cystic fibrosis transmembrane conductance regulator (CFTR) protein. The most common gene mutation leading to CF is the ΔF508 mutation,...
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Pneumonia II: Pathophysiology01:29

Pneumonia II: Pathophysiology

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The pathophysiology of pneumonia involves the following steps:
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Stages of Infection01:26

Stages of Infection

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Stages of infection describe what happens to a susceptible host once a pathogen invades the human body. The stages of infection are incubation, prodromal, illness, stage of decline, and convalescence. The incubation stage is the period from exposure to a pathogen until symptoms start. The infected person is unaware of impending illness as the pathogens grow and multiply within the body. The duration may vary depending on the type of infection. The incubation period of measles averages ten to...
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Defense Against Bacterial Pathogens01:31

Defense Against Bacterial Pathogens

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The human immune system is a complex network of cells, tissues, and organs that work together to defend the body against bacterial infections. It consists of various immune cells, each playing a specific role in the defense mechanism.
Phagocytes
Phagocytes are the frontline soldiers of the immune system. They include neutrophils and macrophages. Neutrophils are the most abundant type of white blood cell and are quickly mobilized to the site of infection. Macrophages are larger cells that patrol...
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Video Experimental Relacionado

Updated: Jan 8, 2026

Mouse Footpad Inoculation Model to Study Viral-Induced Neuroinflammatory Responses
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Mouse Footpad Inoculation Model to Study Viral-Induced Neuroinflammatory Responses

Published on: June 14, 2020

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Ciencia básica y patogénesis

Margaret E Flanagan1, David Gutman2, Brittany N Dugger3

  • 1Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 24, 2025
PubMed
Resumen
Este resumen es generado por máquina.

El Brain Digital Slide Archive (BDSA) es una nueva plataforma de código abierto para compartir datos neuropatológicos en enfermedades neurodegenerativas. Estandariza los datos e integra herramientas de aprendizaje automático para mejorar la investigación y el diagnóstico.

Palabras clave:
patología digitalneurocienciaciencia de datosarchivos de imágenes digitalesaprendizaje automáticoenfermedades neurodegenerativasenfermedad de Alzheimerdemencianeuropatologíarepositorio de datos

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Área de la Ciencia:

  • Patología digital
  • Neurociencia
  • Ciencia de datos

Sus antecedentes:

  • La evaluación neuropatológica es el estándar de oro para el diagnóstico de enfermedades neurodegenerativas, pero enfrenta desafíos en el intercambio de datos y la preparación de muestras.
  • La patología digital y el aprendizaje automático ofrecen soluciones para estandarizar enfoques y mejorar la precisión diagnóstica.

Objetivo del estudio:

  • Desarrollar el Brain Digital Slide Archive (BDSA), una plataforma federada de código abierto para la investigación y el diagnóstico de enfermedades neurodegenerativas.
  • Apoyar imágenes de portaobjetos completos (WSIs) para la enfermedad de Alzheimer (AD) y demencias relacionadas (ADRDs) que se adhieren a los principios de datos FAIR.
  • Permitir el intercambio estandarizado de WSIs, anotaciones y metadatos para el desarrollo de algoritmos de aprendizaje automático.

Principales métodos:

  • Basándose en el Archivo de Portaobjetos Digitales (DSA), el BDSA es una plataforma financiada por NIH U24 adaptada para enfermedades neurodegenerativas.
  • Integración de WSIs de nueve centros de investigación de AD/ADRD con datos armonizados y acuerdos universales de intercambio de datos.
  • Implementación de una herramienta de anonimización para la confidencialidad del donante y adhesión a las mejores prácticas administrativas para una plataforma segura.

Principales resultados:

  • El BDSA integra imágenes de portaobjetos completos (WSIs) de nueve centros de investigación, armoniza los datos e implementa acuerdos de intercambio de datos.
  • Se ha incorporado una herramienta de anonimización para garantizar la confidencialidad del donante.
  • Se completan los acuerdos de uso de datos y transferencia de materiales para todos los sitios contribuyentes de EE. UU., lo que garantiza un desarrollo de plataforma sólido y seguro.

Conclusiones:

  • El BDSA democratiza el acceso a datos neuropatológicos a través de un repositorio digital estandarizado y fácil de usar.
  • La integración de la privacidad, el intercambio de datos y las herramientas de aprendizaje automático mejora la comprensión de las enfermedades neurodegenerativas y la colaboración.
  • Como recurso federado de código abierto, el BDSA tiene el potencial de transformar la neuropatología digital e impulsar la innovación en la investigación de AD/ADRD.