# Sepsis Diagnosis

Sepsis is often flagged at emergency triage, but a neural network returns only a probability that clinicians cannot check. ShAprox fits each feature's Shapley value to a curve or mean and adds them to a base rate, so the prediction is a readable sum. Across 28,072 emergency attendances at two NHS trusts, ShAprox reached 0.824 external-test AUC, comparable to the neural network's 0.818, with training and internal-test performance closer together.

Sepsis is often flagged at emergency triage, but a neural network returns only a probability that clinicians cannot check. ShAprox fits each feature's Shapley value to a curve or mean and adds them to a base rate, so the prediction is a readable sum. Across 28,072 emergency attendances at two NHS trusts, ShAprox reached 0.824 external-test AUC, comparable to the neural network's 0.818, with training and internal-test performance closer together.

Remoscope images 10 microliters of unstained whole blood into 20,000 pictures in about 12 minutes, and a three-class model separated sepsis from non-infectious critical illness and healthy controls in 29 critically ill adults, reaching 100% sensitivity at 85.3% specificity when tuned for rule-out.

Remoscope images 10 microliters of unstained whole blood into 20,000 pictures in about 12 minutes, and a three-class model separated sepsis from non-infectious critical illness and healthy controls in 29 critically ill adults, reaching 100% sensitivity at 85.3% specificity when tuned for rule-out.