Research Topic · Peer-Reviewed

Experimental Model

An experimental model is a controlled biological system used to investigate disease mechanisms, test interventions, and establish causal relationships under conditions that can be manipulated and reproduced. Models fall into broad categories: in vivo systems such as laboratory animals, in vitro systems using culture…

Curated from this journal's research 📚 11 peer-reviewed articles cited Cited 22× across the literature 🔖 ISSN 2641-9181 🗓 Reviewed October 2026

Overview

An experimental model is a controlled biological system used to investigate disease mechanisms, test interventions, and establish causal relationships under conditions that can be manipulated and reproduced. Models fall into broad categories: in vivo systems such as laboratory animals, in vitro systems using cultured cells or isolated tissues, and in silico computational and mathematical representations. Across these forms, the listed research illustrates the range of questions experimental models address, including renovascular hypertension induced in animals, mathematical and biological modeling of tumor-growth dynamics, the study of synaptic and somatic plasticity in the rat dentate gyrus, cadmium-induced osteoporosis, and chemically induced colon carcinogenesis in rats. Each model isolates a defined pathological process so that exposures, treatments and outcomes can be measured with experimental control unavailable in clinical settings. The value of a model depends on its construct, face and predictive validity, its reproducibility, and how faithfully it recapitulates the human condition it represents. Selection therefore balances biological relevance against practicality, ethical considerations and standardization. Rigorous reporting of model conditions, controls and effect sizes underpins reliable interpretation, and the publication of negative or null results is particularly important: it documents interventions that fail, prevents needless replication, counters publication bias, and refines understanding of where a given model does and does not predict biological reality.

Research published in this journal

11 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 11 articles above have been cited 22 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Experimental Model, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in International Journal of Negative Results (ISSN 2641-9181).

Journal editorial board
Abbas Amini · Australia Akmal El-Mazny · Egypt Andrzej Cwirzen · Sweden

This page summarises published research for orientation; it is not medical or professional advice.