Today's Clinical Lab
Today’s Clinical Lab is a publication focused on its readers, providing clinical professionals with the latest updates in the fast-evolving lab industry. It offers thorough and timely editorial content, along with valuable resources that cover industry news and insights into the newest trends, technologies, and methods in clinical laboratories.
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Articles
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1 month ago |
clinicallab.com | Scott Wallask
During the clinical lab management track of this week’s 2025 Lab Manager Leadership Summit in Pittsburgh, there was a rally cry for clearer communication. Clinical lab managers and leaders at the in-person conference—which Today’s Clinical Lab co-hosted with its partner brand Lab Manager—learned how to more effectively convey what’s expected of staff and the type of testing information available to patients.
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1 month ago |
clinicallab.com | Miriam Bergeret
Clinical laboratory professionals dealing with cancer in 2025 have a broad and varied menu of tools available to them. Even so, challenges remain. More research, and more equitable application of the benefits of that research, are needed to defeat the disease—and the clinical lab plays a critical role in that work.
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1 month ago |
clinicallab.com | Jennifer Welsh
A rash of clinical trials in the fight against vision loss highlights the promise and peril of genetic therapies. We may be entering an era of gene therapies as long-lasting cures for some of our worst diseases, but many technical problems remain in the search for solutions. One area in which researchers are making progress is inherited retinal diseases, a large group of monogenic conditions that cause vision loss in around 4 million people worldwide.
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2 months ago |
clinicallab.com | Rodney E. Rohde |Sm Cm
Over the past five years, medical laboratories and public health laboratories in the US have faced many challenges.
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Nov 8, 2024 |
clinicallab.com | Miriam Bergeret |M ScMiriam Bergeret
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.
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