A Closer Lab-Patient Connection
Patient access to data from the clinical lab is increasing. What does this mean for those generating it?
Patient access to data from the clinical lab is increasing. What does this mean for those generating it?
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?
What lab tests currently inform mental health care—and how might the testing landscape change as our understanding and technologies evolve?
Multicancer early detection tests—and their promise of comprehensive, minimally invasive screening—are catching the eye of labs and lawmakers