A Closer Lab-Patient Connection
Patient access to data from the clinical lab is increasing. What does this mean for those generating it?
Diagnostic Testing and Emerging Technologies
Keeps You Up-to-Date on New Diagnostic Tests, Testing Trends and Opportunities, and Emerging Test Technologies
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
A Lasting Impact: COVID-19 and Cancer Screening
Several years after the onset of the COVID-19 pandemic, labs are still dealing with the effects of missed and delayed screenings
Lab Data’s New Role as the Backbone of AI-Driven Clinical Trials
Learn how research and development labs can leverage AI to transform laboratory data into actionable insights
Generalizing Genomics Learning
A new NIH network aims to remove barriers and share knowledge to drive more widespread adoption of genomics in clinical settings
Diagnostics Pipeline: Testing for Intestinal Parasites Takes Step Forward
The EasyScreen assay received 510(k) clearance from the Food and Drug Administration earlier this year–but with a catch
AI in Genomics: The Next Generation
How artificial intelligence and machine learning tools stand to benefit clinical labs throughout the genomics pathway
Evolving Regulations and Guidelines in Genetic Testing
Understanding the regulatory landscape of genetic and genomic testing, and its impact on clinical practice
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?
AI in Health Care: Balancing Benefits and Barriers
AI can help alleviate the burden on clinical labs—but only with sufficient investment, enthusiasm, and understanding
Esophageal Pre-Cancer Testing Gaining Greater Traction
How three companies are addressing screening challenges with tests that help improve chances of early detection
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?
