Image-Based AI Touted as a New Weapon Against Rare Cancers
Studies by Paige demonstrate the greater accuracy that artificial intelligence potentially offers for pathologists
Studies by Paige demonstrate the greater accuracy that artificial intelligence potentially offers for pathologists
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
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?
How are advances in point-of-care testing altering the genetic testing landscape, and what does this mean for the clinical lab?