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Open-access AI tool makes biomedical image analysis accessible to non-experts
https://phys.org/news/2025-04-access-ai-tool-biomedical-image.html
BiaPy environment and scope. Credit: Nature Methods (2025). DOI: 10.1038/s41592-025-02699-y
An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the analysis of biomedical images using deep learning techniques. The work has been published in Nature Methods.
The team was led by Ignacio Arganda (University of the Basque Country—UPV/EHU, Ikerbasque, Donostia International Physics Center, and the Biofisika Institute) and Arrate Muñoz-Barrutia (University of Madrid Carlos III, Gregorio Marañón Health Research Institute).
Used to study cellular structures, tissue, and organs across a range of disciplines, image analysis is an essential tool in biomedicine. However, applying AI to analyze these images has traditionally been the preserve of experts in programming and data science. BiaPy breaks down that barrier by offering an easy-to-use platform that allows advanced AI models to be applied without the need for specialized technical knowledge.
"BiaPy aims to democratize access to artificial intelligence in bioimaging by enabling more scientists and health care professionals to harness its potential without the need for advanced programming or machine learning skills," explained Daniel Franco, lead author of the study and currently a postdoctoral researcher at the MRC Laboratory of Molecular Biology and Cambridge University (United Kingdom).
. . .
The team was led by Ignacio Arganda (University of the Basque Country—UPV/EHU, Ikerbasque, Donostia International Physics Center, and the Biofisika Institute) and Arrate Muñoz-Barrutia (University of Madrid Carlos III, Gregorio Marañón Health Research Institute).
Used to study cellular structures, tissue, and organs across a range of disciplines, image analysis is an essential tool in biomedicine. However, applying AI to analyze these images has traditionally been the preserve of experts in programming and data science. BiaPy breaks down that barrier by offering an easy-to-use platform that allows advanced AI models to be applied without the need for specialized technical knowledge.
"BiaPy aims to democratize access to artificial intelligence in bioimaging by enabling more scientists and health care professionals to harness its potential without the need for advanced programming or machine learning skills," explained Daniel Franco, lead author of the study and currently a postdoctoral researcher at the MRC Laboratory of Molecular Biology and Cambridge University (United Kingdom).
. . .