The new algorithm can predict disease ... 48 hours before symptoms appear

The US military is thought to be developing a special algorithm that is currently at an early stage of development related to early diagnosis of American soldiers.

This algorithm can predict disease in soldiers about 48 hours before the noticeable symptoms begin to appear. Although the system is in the early stages of development and is not yet ready for use, it is said to have demonstrated the ability to predict disease with more than 85% accuracy, the source said.

With new technology, future US soldiers can be diagnosed very early.

The algorithm, called Rapid Analysis of Exposure to Threats (RATE) , is being developed by an information technology company called Royal Phillips in conjunction with the U.S. Defense Risk Mitigation Agency (DTRA). and Experimental Unit of Defense Innovation Unit.

'By combining large-scale data, with AI experience and remote patient follow-up with DTRA's innovation efforts, researchers were able to develop an predictive early warning algorithm high based on noninvasive biomarkers, ' said Joe Frassica, who led the study.

The algorithm used 165 biomarkers collected over 41,000 cases in clinical environment. In particular, medical data will remain the intellectual property of Royal Phillips and the US military will lease information.

RATE will collect patient data through noninvasive media, such as a wearable device.

Edward Argenta, science and technology director of DTRA's Office of Science and Technology, said the team would prioritize the following method so that soldiers could simply wear devices like bracelets or screens. picture mounted on chest. The non-invasive method analyzes parameters such as heart rate, blood oxygen level, blood pressure and temperature.

However, Argenta acknowledged that his company was facing some difficulties by not knowing how their software product would be deployed in a new field because the new device had to first pass a Strict military evaluation process.