Sepsis may promptly develop into lethal organ failure, so early diagnosis and treatment planning are essential. Here the authors use machine learning to develop a six-gene signature, termed Sepset, for initial diagnosis, and integrate Sepset into a microfluidic-based bench-side platform for predicting the prognosis of suspected sepsis suitable for the clinic.
- Lidija Malic
- Peter G. Y. Zhang
- Claudia C. dos Santos
