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Related Concept Videos

Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Crossover Experiments01:16

Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Combined Effects of Drugs: Synergism01:27

Combined Effects of Drugs: Synergism

Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
Dosage Regimens: Designs and Approaches01:28

Dosage Regimens: Designs and Approaches

Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
Methods of Medium Optimization01:28

Methods of Medium Optimization

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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Updated: May 25, 2026

Sample Extraction and Simultaneous Chromatographic Quantitation of Doxorubicin and Mitomycin C Following Drug Combination Delivery in Nanoparticles to Tumor-bearing Mice
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A new optimization based approach to experimental combination chemotherapy

F L Pereira1, C E Pedreira, J B de Sousa

  • 1Instituto de Sistemas e Robótica, Universidade do Porto, Portugal.

Frontiers of Medical and Biological Engineering : the International Journal of the Japan Society of Medical Electronics and Biological Engineering
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

This study introduces a novel computational method for optimizing cancer chemotherapy drug schedules. The approach balances reducing tumor size with minimizing toxicity to healthy tissues using advanced mathematical modeling and algorithms.

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Area of Science:

  • Computational biology
  • Mathematical oncology
  • Pharmacology

Background:

  • Designing effective cancer chemotherapy requires balancing therapeutic efficacy with systemic toxicity.
  • Existing chemotherapy models often rely on empirical relationships, limiting predictive power.
  • Optimizing multiple drug regimens is complex due to dynamic interactions and physiological constraints.

Purpose of the Study:

  • To develop a novel computational framework for designing optimal multiple drug cancer chemotherapy.
  • To create a method that minimizes tumor size while concurrently reducing toxic effects on healthy tissues.
  • To establish a less empirical approach for determining drug delivery policies in cancer treatment.

Main Methods:

  • Development of a mathematical model incorporating cancer cell population growth and pharmacokinetic dynamics.
  • Utilizing an optimization procedure to find an optimal compromise between tumor reduction and toxicity.
  • Employing an iterative projected gradient algorithm guided by Pontryagin's Maximum Principle for control policy selection.

Main Results:

  • The proposed method enables the computation of a desired multiple drug dosage schedule.
  • The approach minimizes a customizable cost function subject to dynamic model constraints.
  • The iterative algorithm effectively addresses the complexity of closed-form solutions for optimal control.

Conclusions:

  • This new approach offers a systematic and optimized strategy for experimental cancer chemotherapy design.
  • The model provides a more robust framework for understanding the relationship between drug delivery and cellular effects.
  • The computational method facilitates the selection of optimal control policies for multi-drug regimens, balancing efficacy and safety.