'The Age of Artificial Intelligence'

The Nobel committee recently awarded the 2024 Nobel Prize in Physics to Hopfield and Hinton for foundational work on machine learning and artificial neural networks, which The New York Times noted as “an acknowledgement of AI’s growing significance in the way people live and work.” The decision emphasizes how data analytics, computational science, and machine learning now form the basis of many modern scientific tools. 

This recognition echoes recent advancements in genomics, where researchers are using data-driven AI tools to analyze vast datasets in search of new insights to improve diagnostics and personalized medicine.

Similarly, our Genomics feature highlights the power of combining computational and genomics methods to characterize new ultrarare diseases and greatly reduce diagnostic delays for the people living with them.

As recent innovations and regulatory changes are rapidly altering the landscape of diagnostic testing and disease treatment, learn how five trailblazing labs are seizing the opportunity to adopt new tests and treatments, paving the way to faster testing, more reliable results, and better outcomes for patients and providers.

In our Industry feature, Scott Wallask discusses the key factors driving the billion-dollar blood and clinical chemistry analyzer market, as well as how clinical labs can take full advantage of new technologies and the rising demand in testing. 

With more business insights, Tyler Radke, MLS(ASCP)CM, explores the top threats facing the clinical lab industry in 2025 and beyond. 

Looking for clarification on the changing regulatory landscape? In our Ask The Expert feature, experts Julie Ballard and Lindsay Strotman answer key questions about FDA, CLIA, and ISO regulations to help clinical labs navigate recent changes. 

We also speak with LISA CEO James Gilmore about a new approach to crowdfunding regulatory costs related to lab-developed tests.

Also, don’t miss our Emerging Technologies Guide!

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