Machine learning version of Martin-Hopkins equation matches accuracy of original LDL-C calculation
Clinical laboratories may soon be able to use a simplified LDL cholesterol calculation
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Diagnostic Testing and Emerging Technologies
Keeps You Up-to-Date on New Diagnostic Tests, Testing Trends and Opportunities, and Emerging Test Technologies
Using ‘Surfaceomics’ as a Jumping Point, a Case is Made for Clinical Lab Growth
Arun Wiita from USCF details his lab’s work using mass spectrometry
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Diagnostics Pipeline: Cizzle Bio Introduces Test for Earlier Lung Cancer Detection
The CIZ1B biomarker blood-based assay has 95% sensitivity for detecting earliest stage of the cancer
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Implementing Accessible On-Demand Testing: A Lab Director’s Experience
On-demand testing doesn’t require registration, billing, or scheduling, keeping costs low while collecting “real” dollars upfront
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Patients at the Point of Care
At-home testing is giving patients an increasingly active role in managing their health—but what does this trend mean for labs?
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Choosing and Using Wisely
The value of lab test utilization management—and the ASCP’s latest best practice recommendations for effective test utilization
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Assessing At-Home Testing Accuracy
Patients desire direct-to-consumer testing, but are the results this testing provides accurate and reliable?
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Diagnostics Pipeline: 2024 Trends in FDA Approvals
In vitro diagnostic products approved by the U.S. Food and Drug Administration in 2024 show a continued move toward rapid and point-of-care tests
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A Closer Lab-Patient Connection
Patient access to data from the clinical lab is increasing. What does this mean for those generating it?
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New and Improved: The Latest Research in Disease Screening
New ideas and innovations look beyond conventional screening options to facilitate improved disease diagnosis and patient outcomes
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A Lasting Impact: COVID-19 and Cancer Screening
Several years after the onset of the COVID-19 pandemic, labs are still dealing with the effects of missed and delayed screenings
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Lab Data’s New Role as the Backbone of AI-Driven Clinical Trials
Learn how research and development labs can leverage AI to transform laboratory data into actionable insights
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Generalizing Genomics Learning
A new NIH network aims to remove barriers and share knowledge to drive more widespread adoption of genomics in clinical settings
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