pharma

An interview with Satnam Surae, Chief Product Officer at Aigenpulse

It’s been a busy few months for the team here at Aigenpulse as we work on releasing some updates to our CytoML Suite. We managed to grab our Chief Product Officer, Satnam Surae, for a quick chat about how automation can help the pharma industry leverage data analytics and advanced machine learning to uncover insights […]

Article: Bridging the automation gap

As technology innovation progresses at a rapid pace, laboratory automation will continue to permeate a broad range of sectors, from genomics and proteomics to drug discovery and clinical diagnostics, for the foreseeable future. Our article with European Pharmaceutical Manufacturer, discusses how automation can benefit the pharma industry when it comes to data processing and analytics. […]

The top barriers to big data adoption in pharma R&D

Big data is an over-used and often a misunderstood term. IBM has added to its original 4 Vs of big data (volume, variety, velocity, veracity) with a fifth V – value. According to them, big data can ‘give you the ability to achieve superior value from analytics on data at higher volumes, velocities, varieties or veracities’.   In life sciences, the rapid digitalisation of R&D creates vast amounts […]