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Animal testing in the human medical field has come at the high price of many lives. Could AI be the next step in product testing?

Animal testing has resulted in major medical innovations, such as vaccines, antibiotics, and drugs like insulin, but they have come at a high cost paid by the animals involved. Additionally, the majority of such testing often fails to be of any benefit. In 2004, the U.S. Food and Drug Administration (FDA) estimated that 92% of drugs that pass preclinical tests, including animal tests, do not reach the market. Despite efforts to improve the predictability of animal testing, the failure rate is now closer to 96%.1 A review of treatment trials for specific human diseases, such as head injury, respiratory distress syndrome, osteoporosis, and stroke, found that the animal experiments accurately predict how they will behave in people only 50% of the time.1

The marketing of drugs and other pharmaceutical products in the U.S. is controlled by the Federal Food, Drug, and Cosmetic Act (FFDCA), which empowers the FDA’s Center for Drug Evaluation and Research to require extensive toxicity testing on animals before a new drug is deemed “safe” for marketing. It typically takes 10 to 15 years and an investment of an average of $1 billion for a new drug to come to market. This antiquated process slows progress, drives up drug costs, and sacrifices countless animals.

Efforts to reduce, refine, and replace testing on animals have been making progress over the last decade. Recently, the U.S. Environmental Protection Agency committed to eliminating all mammal study requests and funding by 2035, and the House Energy and Commerce Committee passed the FDA Modernization Act, strengthening the chance of enactment of a measure that would eliminate a statutory animal testing mandate for new drug development and reform the drug approval process. An amendment to the FFDCA would allow manufacturers to use alternatives to investigate the safety and effectiveness of a drug.

 

[Author: Simon R. Platt, BVM&S, MRCVS, DACVIM (Neurology), DECVN]

[Source: Today’s Veterinary Practice]

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