Removing Restrictions to Germline Testing
With the global cancer burden growing, is a universal germline genomic testing approach the key to more effectively combating the disease?
Emerging Tests-dtet
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
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
At-Home Answers in Infectious Disease
Demand for at-home sample collection and infectious disease testing is at an all-time high—and still growing.
Screening Shortfalls and Self-Collected Samples
Is at-home sample collection the solution to lagging cancer screening uptake—or does this approach introduce a new set of challenges?
Advancements in Antimicrobial Susceptibility Testing: Part 2
Several methods are being developed that improve the ability to rapidly identify organisms and report susceptibility results.
Polygenic Risk Scores: A Cardiovascular Conundrum
Polygenic risk scores may offer new screening and risk stratification options for cardiovascular disease—but how valuable are they?
AI: With the Lab Every Step of the Way
Artificial intelligence models have a valuable role to play in each phase of the total testing process.
Profiling Pathogens for Public Health
Genomic epidemiology can provide insights into pathogen transmission and evolution—and facilitate better countermeasures against infectious disease.
Expert Q&A: Key Developments in AI and Digital Pathology
Juan Antonio Retamero, MD, shares his thoughts on recent trends in AI and digital pathology, and how they may progress.
Seeing Past the AI Hype
Artificial intelligence won’t take your job—but what are the real concerns around healthcare AI and its use?
