Operationalizing Machine Learning in the Laboratory

In previous blogs we have shown how the Data Analytics Solution can be utilized in many different laboratory scenarios to help identify bottlenecks using Business Intelligence Capability, and then reduce testing and forecast sample throughput using the Machine Learning Capability. In this blog we will show how the Machine Learning (ML) models that have been built can be automatically trained, and how they can be operationalized within Thermo Scientific™ SampleManager™ LIMS itself – without the need to utilize external applications or platforms. [Read More]

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