Data Analytics Could Prevent Pandemic Testing Bottlenecks
These findings give labs a blueprint for using data analytics to ensure patient access to testing during future infectious disease outbreaks.
These findings give labs a blueprint for using data analytics to ensure patient access to testing during future infectious disease outbreaks.
Giving a big penalty to an algorithm for false negatives results in much better precision, UJ researchers find.
Predictive Health Diagnostics Company (PHDC) has announced the rollout of its internally developed proprietary laboratory information system (LIS).
One Drop’s patent-pending machine-learning model accurately predicts the probabilities that a user’s glucose will rise above 180 mg/dL or fall below 70 mg/dL.
The microsampling devices make possible take-home kits to monitor tacrolimus and creatinine in kidney transplant patients.
The artificial intelligence-based ClewICU solution has been cleared to predict hemodynamic instability in adult patients.