Federico Germani, Julian W März, Alessandro Luciani, Olivier Devuyst, Nikola Biller-Andorno
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引用次数: 0
Abstract
The development of digital animal models represents a promising avenue for advancing the ethical principles of reduction and replacement in biomedical research. This paper discusses the potential of models built upon artificial intelligence (AI)-generated synthetic datasets simulating the characteristics and behaviors of model organisms, reducing reliance on live animals in research.
期刊介绍:
Trends in Biotechnology publishes reviews and perspectives on the applied biological sciences, focusing on useful science applied to, derived from, or inspired by living systems.
The major themes that TIBTECH is interested in include:
Bioprocessing (biochemical engineering, applied enzymology, industrial biotechnology, biofuels, metabolic engineering)
Omics (genome editing, single-cell technologies, bioinformatics, synthetic biology)
Materials and devices (bionanotechnology, biomaterials, diagnostics/imaging/detection, soft robotics, biosensors/bioelectronics)
Therapeutics (biofabrication, stem cells, tissue engineering and regenerative medicine, antibodies and other protein drugs, drug delivery)
Agroenvironment (environmental engineering, bioremediation, genetically modified crops, sustainable development).