With the number of food import lines increasing every year, the use of the best predictive and analytical tools can ensure quality and protect consumers against risks. The Food and Drug Administration (FDA), as a part of the “New Era of Smarter Food Safety”, is deploying the technology like AI and machine learning to streamline the inspection process for imported foods. The new pilot program uses artificial intelligence, which is being launched by the FDA that improves monitoring of food-borne illness risk. It also considers establishing a blockchain network to track food for the same purpose as the agency announces.
To improve the monitoring of food-borne illnesses by increasing food traceability, FDA is utilizing blockchain and distributed ledger technologies. With these enhanced 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, rather than days or weeks.
As a part of its initiative to create a safe and transparent food system across the nation, the FDA has proposed ideas for collaborating with for e-commerce food delivery models and implementing of the sensor system and IoT. Apart from the safety food system, the FDA plays a significant role in safeguarding biological products, medical devices, radiation-emitting product, and human and veterinary drugs. Likewise, the FDA ensures that accurate scientific information on the use of medicinal products and foods is made available to the public to help maintain and improve health.
The FDA has a broad scope of regulatory authority, and its responsibilities are closely linked with government agencies. For example, the FDA plays a vital 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.