NEW YORK – Beckman Coulter announced Tuesday it has been awarded a $1.25 million award from the US Department of Health and Human Services, Biomedical Advanced Research and Development Authority, Division of Research, Innovation, and Ventures to develop a sepsis detection algorithm.
The machine-learning-based algorithm combines laboratory test parameter values with electronic health record information, and its goal is to predict and detect sepsis earlier to reduce mortality.
The Brea, California-based company, which is a part of Danaher, said the deal comes with the potential for an additional $6.5 million if all contract options are exercised. Beckman Coulter will collaborate with science and technology algorithm development firm Dascena to commercialize the algorithm. The algorithm will be used with the DxH 900 hematology analyzer, said David Persing, Danaher's chief scientific officer for the diagnostics platform, in a statement.
"We aim to leverage the unique ability of the DxH 900 to detect changes in monocyte distribution width and combine the results, along with other diagnostic parameters and vital sign data, with a multi-modal algorithm expected to achieve unprecedented levels of performance," Persing said.