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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
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The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
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Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
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The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...
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Un proceso innovador para la optimización automatizada eficiente de la planificación basada en el conocimiento (KBP)

Ali Yousefi1, Saeedeh Ketabi1, Amy C Moreno2

  • 1Department of Management-Operations Research, University of Isfahan, Isfahan, Iran.

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|August 24, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio introduce un marco de planificación automatizado basado en el conocimiento (KBP) y una nueva técnica de reducción (SVSIDB) para la radioterapia. El enfoque automatizado mantiene la calidad del plan de tratamiento al tiempo que reduce significativamente el tiempo de cálculo, mejorando los resultados clínicos.

Palabras clave:
Marco de la CVXajuste automático del pesoagrupaciónReducción del tamaño de los datosconjunto de datos abierto de KBPPlanificación del tratamiento

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Área de la Ciencia:

  • Física médica
  • Radiología Oncológica
  • Biología computacional

Sus antecedentes:

  • La planificación del tratamiento de radioterapia requiere mucha mano de obra y requiere ajustes expertos.
  • La automatización y la inteligencia artificial (IA) son prometedoras para agilizar la planificación.
  • Los métodos existentes necesitan un mayor perfeccionamiento en cuanto a precisión y eficiencia.

Objetivo del estudio:

  • Desarrollar un enfoque automatizado de planificación del tratamiento IMRT utilizando la optimización matemática.
  • Introducir dos nuevas técnicas de reducción para mejorar la eficiencia computacional.
  • Evaluar la calidad del plan y el ahorro de tiempo de los métodos propuestos.

Principales métodos:

  • Aplicado QuadLin y su modelo revisado para el ajuste automático de peso en la optimización del tratamiento.
  • Desarrolló el algoritmo SVSIDB para el agrupamiento de voxel basado en conceptos de beamlet.
  • Utilizó la técnica ABC-K-Means para el agrupamiento de voxel.
  • Probado en 30 conjuntos de datos de pacientes con cáncer de cabeza y cuello de Open-KBP.
  • Evaluado utilizando MATLAB y el solucionador Mosek dentro del marco CVX.

Principales resultados:

  • Las pesas automáticas QuadLin lograron una calidad de plano comparable a las asignaciones manuales.
  • Los planes automáticos mejoraron la satisfacción de los criterios clínicos en más del 21% en comparación con la dosis prevista.
  • SVSIDB redujo el tiempo de resolución en ~ 50% al tiempo que preservó la calidad del plan.
  • SVSIDB logró un índice de satisfacción de los criterios clínicos del 81,3%, superando las medias ABC-K.
  • ABC-K-Means demostró una eficiencia de ahorro de tiempo comparable a la SVSIDB.

Conclusiones:

  • Desarrolló un marco automatizado de KBP y una técnica eficiente de reducción de personal (SVSIDB).
  • Los pesos automatizados mantuvieron la calidad del plan de tratamiento, que difiere de los ajustes manuales.
  • SVSIDB mejoró el índice de calidad en un 12% con respecto a estudios anteriores.
  • La tubería SVSIDB-QuadLin redujo el tiempo de resolución y mejoró la calidad del plan en comparación con los modelos de datos completos.