Coding can take scientists from participants to owners of their data. More and more it is becoming clear that every organization needs to employ workers with data science skills. As more scientists become data scientists, the move towards digitalized data will accelerate.
The pharmaceutical industry has renewed its interest in HTE these last few years. Leaders see it as a way to get medicines to patients faster, but they’re also attracted by the sheer quantity of data generated in parallel experiments. How and where should HTE be set up for maximum success? Read this blog for questions that should be considered.
Richard Lee discusses the global trend around the development of machine learning (ML) and artificial intelligence (AI) capabilities. As utilization of ML/AI continues to grow, R&D organizations will likely continue to focus on how to normalize data into a format that can be fed into a ML/AI framework.