Rethinking Lyme Disease Testing: A New Approach to Early Detection
New research marks a promising step toward rethinking how we identify and manage Lyme disease and related infections in the clinical lab
New research marks a promising step toward rethinking how we identify and manage Lyme disease and related infections in the clinical lab
Studies by Paige demonstrate the greater accuracy that artificial intelligence potentially offers for pathologists
The PCR-driven test provides results in about 20 minutes in non-laboratory settings
New ideas and innovations look beyond conventional screening options to facilitate improved disease diagnosis and patient outcomes
A new NIH network aims to remove barriers and share knowledge to drive more widespread adoption of genomics in clinical settings
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?
Many artificial intelligence-based medical devices have not undergone clinical validation—but what does this mean for the lab?
With the global cancer burden growing, is a universal germline genomic testing approach the key to more effectively combating the disease?
Recent advances in pharmacogenomic testing—and their role in ensuring safe, effective treatment selection for precision oncology