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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
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Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

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Published on: April 30, 2021

Systems modeling in integrative oncology.

Brian D Lawenda¹, Sanford A Friedenthal, Stephen M Sagar

¹21st Century Oncology, Las Vegas, NV 89109, USA. blawenda@rtsx.com

Integrative Cancer Therapies

|June 14, 2011

Summary

This summary is machine-generated.

The Integrative Oncology Systems Model (IOSM) offers a unified approach to analyze cancer data. This systems modeling framework evaluates interventions and behavior changes impacting cancer progression and patient outcomes.

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Area of Science:

Systems biology
Computational oncology
Health informatics

Background:

Systems modeling integrates diverse data for comprehensive analysis.
Understanding cancer requires analyzing multidisciplinary factors.

Purpose of the Study:

Introduce the Integrative Oncology Systems Model (IOSM).
Assess the impact of interventions and behavior modification on cancer.
Evaluate effects on survival and quality of life.

Main Methods:

Utilizing a systems modeling framework.
Integrating multidisciplinary data streams.
Standardized data analysis for cancer research.

Main Results:

The IOSM facilitates assessment of therapeutic interventions.
Behavior modification impacts on cancer progression can be evaluated.
The model links interventions to survival and quality of life outcomes.

Conclusions:

The IOSM provides an integrated approach to oncology systems modeling.
This model aids in predicting outcomes of interventions and behavior changes.
IOSM supports personalized medicine and treatment optimization.