The ComPatAI consortium uses large datasets to create an AI learning model for pathology

Pekka Ruusuvuori, Associate Professor of the Institute of Biomedicine at the University of Turku, leads the ComPatAI consortium, which is developing new ways to model histopathological tissue samples with generative and predictive AI. In medicine, histological samples are used to assess a patient’s need for treatment. The consortium’s goal is to use big data to create AI models that would produce more accurate diagnostic information in pathology.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-26
DOI
https://doi.org/10.5281/zenodo.14823369
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

The ComPatAI consortium uses large datasets to create an AI learning model for pathology

Zenodo (CERN European Organization for Nuclear Research)
AI in cancer detection
article

The ComPatAI consortium uses large datasets to create an AI learning model for pathology

article en

Abstract

Pekka Ruusuvuori, Associate Professor of the Institute of Biomedicine at the University of Turku, leads the ComPatAI consortium, which is developing new ways to model histopathological tissue samples with generative and predictive AI. In medicine, histological samples are used to assess a patient’s need for treatment. The consortium’s goal is to use big data to create AI models that would produce more accurate diagnostic information in pathology.

Zenodo (CERN European Organization for Nuclear Research)
CSC - IT Center for Science (Finland) (FI)
Openalex Percentile: Top 59%
AI in cancer detection
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The ComPatAI consortium uses large datasets to create an AI learning model for pathology · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS