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
Testing Trends-dtet
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
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.
Expert Q&A: Adapting to the Expanding Market of At-Home Testing
Medical director William G. Finn, MD, discusses key trends, challenges, and opportunities related to the expansion of at-home testing.
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 1
A brief overview of antimicrobial susceptibility testing, current methods used, and new methods on the horizon.
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?
Lost Ground: Cancer Screening in the COVID-19 Era
A pandemic-related drop in cancer diagnoses could spell long-term trouble for patients and providers.
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: What’s Next in Next-Generation Sequencing?
Crystal Girod, MSc, of Beckman Coulter Life Sciences discusses recent developments in NGS and their impact on clinical diagnostics.
Seeing Past the AI Hype
Artificial intelligence won’t take your job—but what are the real concerns around healthcare AI and its use?
