College of Nursing

Lisiane Pruinelli Research Group

Led by Lisiane Pruinelli · Biobehavioral Nursing Science

Auto-generated from UF undergraduate research symposium abstracts

What we study

The lab uses electronic health records and data science to study transplant patients, focusing on improving care through machine learning and personalized models. They investigate factors like sepsis, pain, and survivorship to enhance health outcomes.

What working here is like

  • Computational
  • Coding required
Projects
3
Papers
5

Current projects

A Temporal Causal Knowledge Base of Liver Disease Progression in Liver Transplant Candidates

Building a database to track liver disease progression in transplant candidates.

SURVIBENE-LT: A Survivorship-Based Benefit Model for Optimized Liver Transplantation Allocation

Creating a model to improve liver transplant allocation decisions.

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Leveraging AI to Explore Bias: The Role of Stigmatizing Language in Liver Transplant Evaluations and its Effects on Listing Decisions

Examining how language bias affects liver transplant evaluations.

Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.

Recent papers, explained

Show 3 more papers

Plain-language summaries are AI-written and reviewed by us; check the paper for details.

How to reach out

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Open positions

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