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Related Experiment Video

Updated: Jun 4, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

'Model' or 'tool'? New definitions for translational research.

Disease Models & Mechanisms

|March 2, 2011

Summary

The term "model" for non-human biological systems in research is too strict. A broader term, "tool," better describes systems offering insights into human disorders, clarifying research limitations.

Area of Science:

Biomedical Research
Translational Science

Background:

Non-human biological systems are frequently used to study human disorders.
Current definitions of 'model' require precise phenotypic correspondence, which is often lacking.

Discussion:

Proposes 'tool' as a broader, more accurate term for biological systems that provide insights into human disorders, even without exact phenotypic replication.
Distinguishing between 'models' and 'tools' enhances clarity in scientific communication.
This re-framing aids in identifying systems most effective for studying disease mechanisms.

Key Insights:

'Tools' offer valuable insights into disease etiology and treatment, irrespective of perfect phenotype matching.
The proposed terminology clarifies the scope and limitations of preclinical research.

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Last Updated: Jun 4, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework

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Published on: July 22, 2025

Measurement of Specific Mycobacterial Mistranslation Rates with Gain-of-function Reporter Systems

Measurement of Specific Mycobacterial Mistranslation Rates with Gain-of-function Reporter Systems

Published on: April 26, 2019

Improved terminology facilitates better selection of biological systems for specific research questions.

Outlook:

Encourages adoption of the 'tool' terminology to refine the use of biological systems in disease research.
Aims to improve the identification of systems that can effectively elucidate human disease mechanisms.
Facilitates a more nuanced understanding of preclinical research findings and their translational potential.