Mitigating Risks and Errors in Life Sciences Product Labeling Through AI-Driven Tools: 3 Examples
Product recalls in the life sciences industry are not rare. In Q1 2018 alone, for example, 84 pharmaceutical companies in the U.S. reported at least one recall.[1] While these recalls are often attributed to defective or potentially harmful drugs (such was the case in the infamous 1982 recall of 31 million bottles of Tylenol tainted […]