Image-Based AI Touted as a New Weapon Against Rare Cancers
Studies by Paige demonstrate the greater accuracy that artificial intelligence potentially offers for pathologists
Testing Trends-dtet
Bringing Clinical Mass Spectrometry into Routine Medical Laboratory Testing
Roche experts discuss the company’s recently launched automated solution and how it will bring mass spec to more patients
Labcorp, Quest, and ARUP Develop Bird Flu Tests with CDC Help
The assays were developed with the CDC as part of recent trend of public-private partnerships to improve pandemic preparedness
Patients at the Point of Care
At-home testing is giving patients an increasingly active role in managing their health—but what does this trend mean for labs?
Choosing and Using Wisely
The value of lab test utilization management—and the ASCP’s latest best practice recommendations for effective test utilization
A Closer Lab-Patient Connection
Patient access to data from the clinical lab is increasing. What does this mean for those generating it?
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
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?
