A machine learning-based algorithm to improve surveillance of hepatocellular carcinoma in patients w

Organisation/Company Dipartimento di scienze cardio-toraco-vasculari e sanità pubblica Research Field Medical sciences » Medicine Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 29 Sep 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description

Chronic liver diseases and hepatocellular carcinoma (HCC) are a major public-health burden; HCC is often diagnosed late owing to the limitations of ultrasound surveillance and alpha-fetoprotein. The project develops and validates a machine-learning algorithm (SuperLearner, ensemble stacking) that, by integrating simple demographic, clinical and laboratory variables already available during follow-up, distinguishes cirrhotic patients with HCC from those with cirrhosis alone. The algorithm will be trained on a retrospective cohort (Padua), externally validated (Verona) and prospectively validated in three hepatology centres. The final aim is a free clinical decision-support application for risk stratification, promoting early diagnosis and improving patient prognosis. Italy Eligibility of fellows: country/ies of residence: OTHER Eligibility of fellows: nationality/ies:

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