The Internet of Things (IoT) has provided the pivotal launch point for today’s Digital Revolution. The network of sensor enabled technology is connecting the universe in unimaginable ways from SMART personal devices to automated technology powered by artificial intelligence to gather information from the surrounding environment.

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It might come as a surprise to some laboratory managers, but a lab’s standard operating procedures (SOPs) offer software consultants key insights into the workings of your lab. They also describe how your lab software should behave—assuming they are up to date.
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Supporting a LabWare LIMS implementation often can be a technically challenging affair, especially as a new person on-boarding with an existing LabWare project. If documentation for your LabWare system is lacking, figuring out the appropriate solution can be a difficult task. [Read More]

Xybion Corporation, a global low-code SaaS company that enables digital transformation in highly regulated industries including Life Sciences announced the release of Pristima XD Digital Pathology.

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In this brief commentary article published in Health Services Research and Managerial Epidemiology, Matthews and Proctor of the University of Central Florida argue that simply building out public health informatics infrastructure isn't enough to ensure better public health data and improved health outcomes in the populace. The duo notes that when considering the build out of such technologies, it's vital the implementing organization(s) ask "who are we building this product for, and do we have the right information to back up our theories on implementation and use?” Improved technology skills within the public health workforce aren't enough, they argue, and important human factors research is being neglected when planning for systems implementations. After discussing the importance of health factors research in public health practice and what it should look like, they conclude with four critical recommendations for new and existing public health informatics implementations, including stakeholder collaboration, theoretically informed and validated data collection, proper documentation, and malleable but well-informed technology requirements statements for the future.

This is an IBM-created course that is released on the edX platform. The introductory six-week course will have you "meet some big data science practitioners and we will get an overview of what data science is today." The course is free to take. A verified certificate of completion, via a Verified track from IBM, is available afterwards for $99 USD. (Note that the Audit track expires October 17, 2021.)