New and Improved: The Latest Research in Disease Screening
New ideas and innovations look beyond conventional screening options to facilitate improved disease diagnosis and patient outcomes
New ideas and innovations look beyond conventional screening options to facilitate improved disease diagnosis and patient outcomes
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?
The current landscape of molecular hematopathology—and what steps clinical labs can take to stay at the forefront of the discipline
The latest developments in liquid biopsy and ctDNA testing and why they should be of interest to clinical laboratory professionals