Generalizing Genomics Learning
A new NIH network aims to remove barriers and share knowledge to drive more widespread adoption of genomics in clinical settings
Testing Trends-dtet
AI in Genomics: The Next Generation
How artificial intelligence and machine learning tools stand to benefit clinical labs throughout the genomics pathway
When Is Genome Sequencing Advisable?
With patient and provider demand for WGS on the rise, what should laboratorians know about ordering and interpreting this testing?
Computing the Future of the Lab
Computational biology expert Keaun Amani shares his advice and insights on AI and machine learning tools for the clinical lab
Dissecting the Data Behind Healthcare AI
How do the underlying datasets affect artificial intelligence tools’ performance in the lab—and beyond?
PGx Testing: First, Do No Harm
Recent advances in pharmacogenomic testing—and their role in ensuring safe, effective treatment selection for precision oncology
The Demand for Digital Pathology
When it comes to cancer, patients’ greatest fear is diagnostic delays—and they believe digital pathology and AI can reduce those delays
Syndromes Without a Name Bring Labs an Uphill Battle
In an era when genetic and genomic testing are theoretically affordable and accessible, why do so many patients remain undiagnosed?
Mind Reading: Lab Testing for Mental Health Conditions
What lab tests currently inform mental health care—and how might the testing landscape change as our understanding and technologies evolve?
MCED: A New Screening Paradigm?
Multicancer early detection tests—and their promise of comprehensive, minimally invasive screening—are catching the eye of labs and lawmakers
Removing Racial Inequalities in Lab Referrals
Clinical laboratory professionals must consider how race affects test referrals and what they can do to combat existing inequities
Pandemics: Prediction, Prevention, and Response
Recent efforts to forecast the next infectious disease outbreak and steps labs can take to ensure they’re prepared.
Sepsis: Diagnosis on a Deadline
New molecular tests and diagnostic support technologies can help labs detect sepsis earlier, faster, and with greater accuracy
