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Preclinical Development: Overview

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Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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Clinical Trials

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
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Body:Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...

Clinical Trials: Overview

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...

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Preclinical Drug Testing in Scalable 3D Engineered Muscle Tissues

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General Principles of Preclinical Study Design.

Wenlong Huang¹, Nathalie Percie du Sert², Jan Vollert³

¹Institute of Medical Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK. w.huang@abdn.ac.uk.

Handbook of Experimental Pharmacology

|November 11, 2019

Summary

Enhance preclinical study quality by understanding and mitigating experimental biases. This guide focuses on in vivo hypothesis testing to improve research rigor and reduce wasted resources.

Keywords:

Experimental bias Hypothesis generating Hypothesis testing In vivo studies Preclinical research

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Preclinical Drug Testing in Scalable 3D Engineered Muscle Tissues

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Area of Science:

Preclinical research
Translational science
Experimental design

Background:

Poor quality in preclinical animal studies impedes clinical translation.
Suboptimal study design and conduct lead to wasted research resources.
Experimental biases are a key factor contributing to poor preclinical study quality.

Purpose of the Study:

To provide concepts and principles for designing in vivo preclinical studies.
To define and explain how to avoid experimental biases.
To discuss sources of bias and mitigation strategies in preclinical research.

Main Methods:

Focus on hypothesis testing in preclinical studies.
Explanation of experimental biases and their avoidance.
Discussion of bias sources and mitigation techniques.
Exploration of confirmatory vs. exploratory studies.
Review of guidelines for preclinical study design.

Main Results:

Improved understanding of experimental biases in preclinical research.
Strategies for mitigating bias in in vivo experiments.
Guidance on designing rigorous preclinical studies.

Conclusions:

Implementing principles discussed enhances scientific rigor in preclinical studies.
Mitigating experimental biases is crucial for reliable research outcomes.
This chapter serves as a tool to improve the quality of preclinical research without stifling innovation.