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

Data accuracy and reliability are essential in pharmaceutical research because they directly impact patient safety, research outcomes and regulatory compliance. Inaccurate information can lead to the ...

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

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

This is a continuation of an earlier article in this issue, where the importance of ‘Data Integrity’ was elaborated. The opinions are generalized to a certain extent, only to drive home the point 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 ...

Data content management will drive the growing global data and analytics market in the pharmaceutical sector, which will reach a valuation of $2.1bn by 2028, according to a report. The 2024 edition of ...

Commerce minister Piyush Goyal had recently said that data exclusivity could help attract R&D investments in the pharmaceuticals sector. However, data exclusivity to originator firms could facilitate ...

This data-driven resource analyzes 1,775 clinical-stage deals (Phase I–III) with headline values, upfronts, milestones, and royalty ranges, plus links to deal records and SEC-filed contracts where ...