In the coming years, several exciting trends promise to revolutionize how we conduct preclinical animal research. Here are the most significant trends that we can expect to make an impact in 2023:
1. AI Driven Technology will be further developed and implemented, enabling researchers to monitor and identify animal behaviors and treatment responses more quickly to increase research protocol efficiency and data collection accuracy.
2. Data Analytics will also be systematically used to analyze extensive data collections produced from preclinical animal research. This meta-analysis will enable researchers to identify trends more accurately, uncover correlations, and draw meaningful conclusions.
3. Biomedical 3D Printing Technology in preclinical research applications will help to improve efficiency in creating tissue models dedicated to drug screening, biomedical treatment, surgical reconstruction and other areas of interest.
4. Miniaturized Tools will help to support increased animal welfare by decreasing the use of invasive methodology. By using minimally invasive techniques, researchers will be able to reduce stress and discomfort for the animals involved in the study allowing for increased data reliability. This includes techniques such as endoscopy, laparoscopy, and ultrasound.
5. Humanized Models are increasingly used in preclinical animal research to understand inter-individual specificity better, develop patient-specific treatment, and ensure treatment efficiency.
6. Wireless Technologies will allow researchers to monitor animal behavior in real-time while allowing the animals to remain in a natural social setting, such as group housing. This gives researchers greater insight into animal behavior compared to isolated or tethered experiments.
7. Bioinformatics Tools will enable researchers to predict and better interpret the complex data sets generated by preclinical animal research to push forward biomedical boundaries.
8. Gender Equality will continue to be an essential consideration in preclinical research. Researchers will need to consider the unique differences between male and female animals in order to account for gender-specific differences in response to specific treatments.