How to Better Harmonize Lab Test Results
Unharmonized and unstandardized test results can affect patient care. Here are steps that clinical labs can take to resolve this problem
Unharmonized and unstandardized test results can affect patient care. Here are steps that clinical labs can take to resolve this problem
Several years after the onset of the COVID-19 pandemic, labs are still dealing with the effects of missed and delayed screenings
Learn how research and development labs can leverage AI to transform laboratory data into actionable insights
A new NIH network aims to remove barriers and share knowledge to drive more widespread adoption of genomics in clinical settings
How artificial intelligence and machine learning tools stand to benefit clinical labs throughout the genomics pathway
With patient and provider demand for WGS on the rise, what should laboratorians know about ordering and interpreting this testing?
Computational biology expert Keaun Amani shares his advice and insights on AI and machine learning tools for the clinical lab
How do the underlying datasets affect artificial intelligence tools’ performance in the lab—and beyond?
Recent advances in pharmacogenomic testing—and their role in ensuring safe, effective treatment selection for precision oncology
When it comes to cancer, patients’ greatest fear is diagnostic delays—and they believe digital pathology and AI can reduce those delays
In an era when genetic and genomic testing are theoretically affordable and accessible, why do so many patients remain undiagnosed?