Animal studies are an important part of preclinical research, but their ability to predict human outcomes is limited. As researchers seek more ethical, representative, and translationally relevant approaches, developments in bioprinting, disease modeling, and multimodal imaging are helping reshape how biological processes are studied and potential therapies are evaluated.
This eBook brings together research and insights exploring how human-relevant platforms can complement traditional animal studies, reduce reliance on them where appropriate, and support more predictive preclinical workflows.
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What's Inside?
- How bioprinting is advancing organoid, tissue, and cancer model development
- New insights into respiratory disease, including pulmonary fibrosis and acute lung injury
- Research into age-related muscle and bone decline
- The role of non-invasive imaging in monitoring disease and treatment response
- Refined animal models and experimental methods that support the principles of the 3Rs
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The eBook also examines how multimodal imaging can combine anatomical, functional, and molecular data over time, supporting more detailed analysis, less invasive research, and improved study design.
From bioprinted tissues and engineered tumor models to AI-assisted modeling and non-invasive imaging, this eBook provides a broad overview of the tools helping preclinical researchers improve translational accuracy, reduce clinical risk, and develop more humane research practices.
Whether you work in disease modeling, imaging, therapeutic development, or preclinical study design, this eBook provides insights into the evolving methods supporting more comprehensive and predictive biomedical research.
About Scintica Instrumentation Inc.
At Scintica, we advance science and medicine by supplying researchers with reliable research instrumentation and equipment. Our carefully selected portfolio of imaging systems, research tools, and supporting technologies is designed to reduce complexity and help scientists focus on what matters most, generating meaningful results.
We partner closely with the preclinical research community to connect teams with solutions that are scientifically robust and built to support research challenges. From system selection through long-term support, our goal is to make research more productive, efficient, and impactful.
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