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/PRNewswire/ Personal mobile devices and digital tools for desk-based workers provide access to useful, real-time data, but frontline workers in businesses. ....
It has been a rough couple of years for science. Our newly-unmasked population seems to be more divided than ever about our ability to rely on science in applying systematic and neutral. ....
SHARE Continuous processing based on artificial intelligence, robotics and data science hasn’t been adopted in the pharma and biotech manufacturing verticals yet, says a disruptor business. While the data-science side of things, such as data collection, and the formatting of the figures to make the numbers useful has been approached by innovators, the smart manufacturing-oriented digital transformations aren’t there, according to John Vitalie (pictured), chief executive officer at AI firm Aizon. “Leveraging machine learning and artificial intelligence in the manufacturing process” produces higher yields and predictability, and ultimately better outcomes for patients, though, Vitalie explained, so there should be a focus on it. Newer tech would also benefit, such as precision or personalized medicine, which needs small, or micro-level batch manufacturing. ....