How can pharma labs improve their digital maturity to streamline their lab processes and realise the full potential of their data? We look at how to achieve digital maturity, and what to consider when implementing AI and ML in the lab.
Viewpoint
High-performance computing (HPC) and artificial intelligence (AI) have become increasingly important in modern science and technology
Analytical data is ubiquitous in the world of chemical and biochemical R&D
Planning and implementing a data transformation is not easy, especially in the highly regulated life sciences industry - a deep understanding of the industry, its processes, and regulations is required.
From new instruments and software to the rise of the digital lab, the landscape of analytical chemistry data continues to evolve, writes Sanji Bhal, Director, Marketing & Communications
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