Using its own globally-collected data sets, Philips was able to develop a unique algorithm for the Defense Department. Using 165 distinct biomarkers across 41,000 cases, the Philips team was able to create the Rapid Analysis of Threat Exposure, or RATE, algorithm, which the company says can “predict infection 48 hours before clinical suspicion” with better than 85% accuracy.
On facebook a person left a comment to an interesting story about military funded research: https://www.nextgov.com/analytics-data/2019/10/military-algorithm-can-predict-illness-48-hours-symptoms-show/160851/