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Classiq and UC Chile have launched a 12-month initiative to deploy hybrid quantum algorithms for renal pathology, marking the first such consortium in Latin America to integrate quantum computing with computational pathology. The project prioritizes practical applications in kidney lesion classification and automated image segmentation using curated datasets from Brazilian institutions, aiming to address regional public health needs while strengthening the local quantum ecosystem. This collaboration signals a shift from theoretical exploration to tangible health innovation by combining quantum machine learning with established expertise in digital pathology and computer vision.
Classiq & UC Chile Launch 12-Month Quantum Pathology Research
Classiq & UC Chile begin a 12-month project, “Enhancing Pathology through Quantum Computing,” to develop hybrid algorithms for biomedical image.
Classiq and Pontificia Universidad Católica de Chile (UC Chile) have launched a 12-month research project focused on applying hybrid quantum algorithms to biomedical image analysis, a collaboration funded by Avanza UC. The project, titled “Enhancing Pathology through Quantum Computing,” initially targets renal pathology, addressing a significant public health issue in Chile and throughout Latin America by leveraging quantum machine learning for kidney lesion classification and automated image segmentation. To the collaborators’ knowledge, this is the first consortium in Latin America…
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