A different approach to data
Jill Matzke, senior manager of advanced platforms at SGI, says changing needs of scientists mean new methods of accessing data and memory are needed
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Drug development is facing change – both from technological pressures, such as the use of AI and machine learning, plus new regulations which are driving sweeping changes to the way electronic records are created and stored for clinical trials.
Robert Roe speaks with laboratory informatics software providers about the future of their software and the introduction of new technologies, such as AI and deep learning
Scientists are now beginning to use new technologies such as the internet of things (IoT), artificial intelligence (AI) and machine learning (ML) in their daily workflows.
In today’s world, where drug development integrates science and technology, consumer safety is paramount in the pharmaceutical industry.