collaborators

4 papers

cs.CL2026

Multi-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)

Manuela Del Castillo Suero, Arnault-Quentin Vermillet, Nicole Sonne Heckmann +2

Background: Disease severity is a multidimensional construct difficult to capture with rule-based approaches in Electronic Healthcare Records (EHR). Agentic large language model (L…

cs.CL2026

Optimizing Large Language Models for Causality Assessment in Pharmacovigilance: Developing a Performance Metric as Objective for Bayesian Hyperparameter Optimization

Nicole Sonne Heckmann, Arnault-Quentin Vermillet, Søren Norlin Mølgaard +4

Background: Growing individual case safety report (ICSR) volumes have intensified demand for scalable automated causality assessment. Large Language Models (LLMs) show promise, yet…

cs.CL2026

Employing General-Purpose and Biomedical Large Language Models with Advanced Prompt Engineering for Pharmacoepidemiologic Study Design

Xinyao Zhang, Nicole Sonne Heckmann, Manuela Del Castillo Suero +2

Background: The potential of large language models (LLMs) to automate and support pharmacoepidemiologic study design is an emerging area of interest, yet their reliability remains…

cs.CL2026

Development of a European Union Time-Indexed Reference Dataset for Assessing the Performance of Signal Detection Methods in Pharmacovigilance using a Large Language Model

Maria Kefala, Jeffery L. Painter, Syed Tauhid Bukhari +1

Background: The identification of optimal signal detection methods is hindered by the lack of reliable reference datasets. Existing datasets do not capture when adverse events (AEs…