Structured Authoring – Streamlining Regulatory Submissions

It still surprises me that in an industry such as life sciences where quality, compliance and accuracy is of utmost importance, data that can be automatically handled is managed manually. Manual data management is prone to errors, is time consuming and is sometimes even a risky approach of dealing with information across different business functions. …

Machine Learning for the benefit of Life Sciences

Machine Learning (ML) is a form of Artificial Intelligence (AI), allowing applications to learn from the data processed. This is in contrast to programming, which follows a defined route to write a specific computer program. During the absorption of data, the ML algorithms learn to produce better, more precise ‘models’. These ML ‘models’ are an …