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Bridging the immunity gap: improving animal welfare without antibiotics

Antibiotic resistance is a major concern for humans and animals. Increasing pressure to move away from antibiotics has created space for new solutions for disease management. Animab’s oral monoclonal antibody platform is a promising alternative, effectively guarding against infection during a vulnerable period in an animal’s development.
Many drugs fail clinical trials, often because preclinical animal models fall short of replicating human physiology. To improve animal welfare, speed up drug development, and reduce costs, we need to rely less on animal models, while also minimizing the number of failures early in the drug development process. Artificial intelligence and machine learning are powerful tools that can help us achieve these goals by predicting a drug's efficacy, safety, and uptake in preclinical studies. These technologies can help researchers to make informed decisions and optimize testing strategies, improving drug development for both animals and people.
If scientists could stop animal testing, most would do so immediately. So why is it taking so long to develop alternatives to animal testing? And what are we doing to speed up the process?
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Antibiotic resistance is a major concern for humans and animals. Increasing pressure to move away from antibiotics has created space for new solutions for disease management. Animab’s oral monoclonal antibody platform is a promising alternative, effectively guarding against infection during a vulnerable period in an animal’s development.
Many drugs fail clinical trials, often because preclinical animal models fall short of replicating human physiology. To improve animal welfare, speed up drug development, and reduce costs, we need to rely less on animal models, while also minimizing the number of failures early in the drug development process. Artificial intelligence and machine learning are powerful tools that can help us achieve these goals by predicting a drug's efficacy, safety, and uptake in preclinical studies. These technologies can help researchers to make informed decisions and optimize testing strategies, improving drug development for both animals and people.
If scientists could stop animal testing, most would do so immediately. So why is it taking so long to develop alternatives to animal testing? And what are we doing to speed up the process?