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Infectious Disease
Cohort
AutoML model shows high accuracy for predicting carbapenem-resistant infections in hospitalized patients
A New AI Tool Spots Hospital's Hardest Infections Days Before They Strike
A retrospective cohort study of 958 hospitalized patients with CRO and CSO infections developed an automated machine learning model optimize…
A machine-learning tool could flag hospitalized patients at high risk for hard-to-treat drug-resistant infections — sometimes before the inf…
Frontiers
Apr 13, 2026
Primary Care & Family Medicine
Cohort
Prediction model for 30-day mortality in cancer patients with carbapenem-resistant organism infections
Researchers develop model to predict death risk in cancer patients with resistant infections
A retrospective cohort study of 417 cancer patients with CRO infections at Henan Cancer Hospital developed a 14-factor prediction model for …
A new tool predicts which cancer patients with hard-to-treat infections face the highest risk of dying within 30 days by analyzing 14 key fa…
Frontiers
Apr 8, 2026