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The US Food and Drug Administration (FDA) has released a new guidance document pertaining to labeling changes made to pharmaceutical and biological products based on new safety information discovered ...

Amid the boom of AI in application building, companies face a significant data-labeling problem, especially when it comes to labeling images or other media content they want to train deep learning ...

How should meat grown from cultured animal cells be labeled? In a joint FDA/USDA webinar, officials said they would work together to come up with joint principles to govern the labeling of products ...

The shift to remote work and dispersed global operations at life science firms has forever altered the regulatory market. We’ve seen an increase in the speed with which the industry is adapting to new ...

This is an On-demand recording from August 2020. Labeling process optimization requires a high-level framework for managing the key aspects of a technology-appropriate and scalable, end-to-end process ...

Before you can even think about building an algorithm to read an X-ray or interpret a blood smear, the machine has to know what’s what in an image. All of the promise of AI in healthcare — an area ...

Data labeling software is crucial in developing artificial intelligence (AI) systems. It is designed to label and annotate data in a consistent and standardized manner, just like in a commonly known ...

Big data has become a big challenge for space scientists analyzing vast datasets from increasingly powerful space instrumentation. To address this, a team has developed a machine learning tool to ...

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. Snorkel AI wants to make it easier for subject matter ...

Accurate labeling of penicillin allergies is essential, but unconfirmed penicillin allergies may have negative effects on individual and public health, according to experts. A trend toward ...