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Food Business Review | Thursday, March 03, 2022
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With the number of food import lines rising every year, the best predictive and analytical tools can ensure quality and protect consumers against risks. The Food and Drug Administration (FDA), as a share of the “New Era of Smarter Food Safety,” is deploying technology like AI and machine learning to streamline the inspection process for imported foods.
The new pilot program uses artificial intelligence, launched by the FDA, that improves monitoring of foodborne illness risk. It also considers setting up a blockchain network to track food for the same purpose as the agency announces.
To upgrade the monitoring of foodborne illnesses by increasing food traceability, FDA is using blockchain and distributed ledger technologies. With these improved techniques, the tracking of medicinal products throughout the supply chain will improve, making it possible for agencies to confirm the origin of contaminated food just minutes after an outbreak instead of days or weeks.
As a part of its initiative to build a safe and transparent food system across the nation, the FDA has proposed ideas for collaborating with e-commerce food delivery models and implementing the sensor system and IoT.
Excluding the safety food system, the FDA plays a significant role in safeguarding biological products, medical devices, radiation-emitting products, and human and veterinary drugs. Similarly, the FDA ensures that accurate scientific information on medicinal products and foods is made available to the public to support, maintain and enhance health.
The FDA has a wide scope of regulatory authority, and its liability is closely linked with government agencies. For instance, the FDA plays a crucial role in the counter-terrorism capacity of the nation by ensuring food security and promoting the development of medical products to respond to deliberate and naturally emerging threats to public health.
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