Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Intelligence01:27

Intelligence

8.6K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.6K
Measures of Intelligence01:29

Measures of Intelligence

8.4K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.4K
Multiple Intelligences Theory01:20

Multiple Intelligences Theory

8.9K
Howard Gardner's theory of Multiple Intelligence proposes that there are nine distinct types of intelligence, each reflecting different ways of interacting with the world. Introduced in 1983 and expanded in subsequent years, Gardner's framework challenges the traditional notion of a single, generalized intelligence.
8.9K
Cattell's Theory of Intelligence01:25

Cattell's Theory of Intelligence

8.0K
Raymond Cattell, along with John Horn, made significant contributions to our understanding of intelligence by distinguishing between two types: fluid intelligence and crystallized intelligence.
Fluid intelligence involves the capacity to solve new problems and adapt to unfamiliar situations. It's the type of intelligence individuals use when they encounter a novel problem or puzzle that requires innovative thinking. For instance, figuring out how to operate a new gadget relies heavily on...
8.0K
Triarchic Theory of Intelligence01:24

Triarchic Theory of Intelligence

10.0K
Robert Sternberg's triarchic theory of intelligence posits that intelligence is composed of three distinct but interrelated components: analytical, creative, and practical intelligence.
10.0K
Biological Influences on Intelligence01:30

Biological Influences on Intelligence

517
Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter...
517

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same authorSame journal

AI/ML-Assisted SERS Biosensing for Biomolecular Detection: From Direct Spectral Response to Integrated Diagnostic Systems.

Biosensors·2026
Same author

Microscale Flow Control and Droplet Generation Using Arduino-Based Pneumatically-Controlled Microfluidic Device.

Biosensors·2024
Same author

Polymeric Microfluidic Devices Fabricated Using Epoxy Resin for Chemically Demanding and Day-Long Experiments.

Biosensors·2022
Same author

Experimental Study on Ion Transport in Microfluidic Electrodialysis Using Partially Masked Ion Exchange Membranes.

Micromachines·2022
Same author

Machine Learning-Based Heavy Metal Ion Detection Using Surface-Enhanced Raman Spectroscopy.

Sensors (Basel, Switzerland)·2022
Same author

SERSNet: Surface-Enhanced Raman Spectroscopy Based Biomolecule Detection Using Deep Neural Network.

Biosensors·2021
Same journal

A Coumarin-Based Probe for Sequential ON-OFF-ON Detection of Cu<sup>2+</sup> and Biothiols: Naked-Eye Detection, Smartphone RGB Readout and In Vivo Imaging.

Biosensors·2026
Same journal

Electropolymerized Molecularly Imprinted Polymers Supported on Carbon-Based Materials for (Bio)sensing: Direct and Indirect Detection Strategies.

Biosensors·2026
Same journal

Progress in (Photo)electrochemical Biosensors for the Detection of Amyloid-Beta Oligomer.

Biosensors·2026
Same journal

Design and Simulation of Lamotrigine Intermittent Release from a Subcutaneous Implant with an Enzymatic Biosensor Based on Clinical Data.

Biosensors·2026
Same journal

Prediction of Chronic Kidney Disease Based on Simulated Serum Analysis by Vibrational Spectroscopy.

Biosensors·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Jan 28, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

Sistemas de Cultivo Celular Microfluídico Asistidos por Inteligencia Artificial

Muhammad Sohail Ibrahim1, Minseok Kim2,3,4

  • 1Interdisciplinary Research Center for Intelligent Secure Systems (IRC-ISS), King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.

Biosensors
|January 27, 2026
PubMed
Resumen
Este resumen es generado por máquina.

La inteligencia artificial (IA) mejora los sistemas microfluídicos y de órgano en un chip para el modelado biológico complejo. Las perspectivas impulsadas por la IA aceleran el descubrimiento de fármacos y permiten la medicina personalizada a través del análisis avanzado de datos y el control automatizado.

Palabras clave:
inteligencia artificialcultivo celularmicrofluídicaórgano en un chip

Más Videos Relacionados

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

846
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.7K

Videos de Experimentos Relacionados

Last Updated: Jan 28, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

846
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.7K

Área de la Ciencia:

  • Ingeniería Biomédica
  • Biología Computacional
  • Biología Celular

Sus antecedentes:

  • Los sistemas microfluídicos y las plataformas de órgano en un chip (OOC) permiten un control preciso sobre los microambientes celulares para modelar procesos biológicos.
  • Diversos métodos de cultivo celular (2D, 3D, esferoides, organoides) generan datos complejos y multiparamétricos.
  • El análisis de conjuntos de datos grandes y heterogéneos de estos sistemas presenta importantes desafíos de preprocesamiento e interpretación.

Objetivo del estudio:

  • Revisar la integración de la inteligencia artificial (IA) con las tecnologías microfluídicas y de OOC.
  • Destacar el papel de la IA en la superación de los cuellos de botella en el análisis de datos y en la habilitación de aplicaciones avanzadas.
  • Discutir el progreso actual, los desafíos y las oportunidades futuras en la investigación microfluídica impulsada por IA.

Principales métodos:

  • Aplicación de algoritmos de aprendizaje automático y aprendizaje profundo para la fenotipificación automatizada y el modelado predictivo.
  • Utilización de técnicas como la reducción de dimensionalidad, la selección de características explicables y la inferencia en el chip.
  • Integración de IA con imágenes de alta resolución, sensores y ensayos bioquímicos dentro de dispositivos microfluídicos.

Principales resultados:

  • La IA facilita el análisis automatizado de datos, permitiendo la detección precisa de cambios fenotípicos y la clasificación de respuestas terapéuticas.
  • Los sistemas microfluídicos impulsados por IA mejoran la reproducibilidad de los ensayos, aceleran el descubrimiento de fármacos y apoyan la medicina personalizada.
  • La IA permite el control en tiempo real y la regulación en bucle cerrado de entornos microfluídicos, transformándolos en herramientas experimentales adaptativas.

Conclusiones:

  • La IA es crucial para desbloquear todo el potencial de las plataformas microfluídicas y de OOC en la investigación biomédica y el desarrollo de fármacos.
  • La IA explicable es esencial para la transparencia, la aceptación regulatoria y la comprensión biológica en sistemas autónomos.
  • La sinergia entre la IA y la microfluídica promete avanzar en la salud de precisión y la investigación biomédica de próxima generación.