Success requires AI that is customized, regulated, hybrid in its data structure and grounded at the deepest levels of the ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

Please give an overview of the recent compliance pressures that have been put on pharmaceutical companies. Compliance always has always been a high priority for data integrity in the pharmaceutical ...

Data management, study design, and the groundwork needed to build pharma’s digital revolution. As the pharmaceutical industry ...

The data paradox vexing pharma companies – and many other healthcare organizations – is that, on the one hand, they seem to be awash in data, yet these data seem to be adding up to something that, if ...

However, if pharma manufacturers aren’t using RWD in a strategic way, they’ll miss out on its full potential. And with that, ...

Ramesh Betha currently serving as a Senior Manager in AI & Data at Deloitte Consulting LLP, he specializes in designing and ...

Temperature integrity and monitoring. Continuous real-time tracking (e.g., IoT sensors, data loggers) is critical to ensure ...

With these innovations, Expert.ai continues to set the standard for applying AI in Pharma & Life Sciences, delivering greater ...

DUBLIN--(BUSINESS WIRE)--The "Efficient Batch Record Design and Review" training has been added to ResearchAndMarkets.com's offering. This online training is designed for professionals in the ...

Information gleaned from organized data is one of a pharmaceutical business's most valuable resources. The key word in this statement is "organized," as free-flowing data is significantly different ...