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
Keep up to date on new and emerging diagnostic tests, testing trends and opportunities, and disruptive technologies
AI can help alleviate the burden on clinical labs—but only with sufficient investment, enthusiasm, and understanding
Laboratory leaders from Geisinger discuss key lab automation developments in their organization.
Cybersecurity expert explains the importance of such assessments, which simulate malicious attacks to identify IT vulnerabilities.
How clinical laboratories can get started in automation—and what to consider when doing so.
Laboratory leader Ihab Abumuhor discusses recent lab automation-related developments and the keys to successful implementation.
As technology advances and testing demand grows, automation and AI are increasingly making their way into the clinical lab.
Once confined to areas such as pregnancy testing, these assays can now be used to detect STIs and other health issues.
Demand for at-home sample collection and infectious disease testing is at an all-time high—and still growing.
Medical director William G. Finn, MD, discusses key trends, challenges, and opportunities related to the expansion of at-home testing.
Is at-home sample collection the solution to lagging cancer screening uptake—or does this approach introduce a new set of challenges?
Several methods are being developed that improve the ability to rapidly identify organisms and report susceptibility results.