A Multianalyte Machine Learning Model to Detect Wrong Blood in Complete Blood Count Tube Errors in a Pediatric Setting

12.03.2025

Clinical Chemistry Podcast

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This free monthly podcast is offered by Clinical Chemistry. Clinical Chemistry is the leading forum for peer-reviewed, original research on innovative practices in today's clinical laboratory.

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A Multianalyte Machine Learning Model to Detect Wrong Blood in Complete Blood Count Tube Errors in a Pediatric Setting
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A Multianalyte Machine Learning Model to Detect Wrong Blood in Complete Blood Count Tube Errors in a Pediatric Setting

Clinical Chemistry Podcast

Więcej odcinków z kanału "Clinical Chemistry Podcast"

Pediatric vaccine-induced antibody thresholds: Rethinking pre-immunosuppression serologic testing and revaccination implications

Reevaluating the threshold for low total testosterone

Help Us to Help You: Recommendations for Continued Enforcement Discretion for Common Infectious Disease Test Modifications under the FDA Final Rule

Audio Summary May 2025

New Clinical Practice Guidelines for Vitamin D Supplementation and Testing

Normal Thyroid-Stimulating Hormone and Elevated Free Thyroxine in a Patient Presenting with Self-Reported Heart Palpitations

Cardiac Biomarkers and Malnutrition Incidence in Community-Dwelling Older Adults without Cardiovascular Disease: The Seniors-ENRICA-2 Cohort

Pharmacogenetic Analysis of CYP2C19 for Clopidogrel: Ready for Prime Time

Audio Summary April 2025

A Multianalyte Machine Learning Model to Detect Wrong Blood in Complete Blood Count Tube Errors in a Pediatric Setting