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  3. Adverse Event Mining Adverse Event Mining

Adverse Event Mining

Adverse event mining for automated generation of therapy risk profiles.

Brief information

School:

Computer Science and Information Technology

Status:

Ongoing

Period:

01.08.2025 - 31.12.2027

Overview

The systematic presentation of the known side effects of a therapy is referred to as its risk profile. Risk profiles enable an individual assessment of the risk-benefit ratio and thus support optimal therapy selection and patient education. Risk profiles are constantly evolving, whether due to new findings from phase IV studies after therapy approval, new observations in medical research articles, or new entries in pharmacovigilance registries. A risk profile that is up to date with the current state of research therefore requires continuous monitoring of the entire body of scientific literature. Using the example of radioiodine therapy, a specialized artificial intelligence is to be developed in this project.

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Facts

Type of project

Forschung

Internal organisations involved
  • Computer Science and Information Technology
Funding
  • Private / Stiftungen
UN Sustainable Development Goals
Among other things, this project contributes to the attainment of the following UN Sustainable Development Goals (SDGs):
  • SDG 3: Good Health and Well-Being
    Ensure healthy lives and promote well-being for all at all ages
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Persons involved: internal

Project manager
  • Marc Pouly
Member of project team
  • Alvaro Gonzalez-Jimenez
  • Fabian Gröger
  • Pascal Wullschleger

Brief information

School:

Computer Science and Information Technology

Status:

Ongoing

Period:

08/01/2025 - 12/31/2027

Project Head

Prof. Dr. Marc Pouly

Co-Head Applied AI Research Lab

+41 41 757 68 25

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FH Zentralschweiz

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Lucerne University of Applied Sciences and Arts


Werftestrasse 4
6002 Luzern

+41 41 228 42 42

info@hslu.ch

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