Classiq and UC Chile Collaborate on Quantum AI for Biomedical Image Analysis
Classiq and UC Chile Launch Quantum AI Research for Biomedical Image Analysis Leveraging Integration with NVIDIA CUDA-Q
Image: Benzinga
Classiq and Pontificia Universidad Católica de Chile (UC Chile) have launched a 12-month research project aimed at developing hybrid quantum algorithms for biomedical image analysis, focusing on renal pathology. Funded by Avanza UC 2025, this initiative combines quantum computing with machine learning to enhance healthcare solutions in Latin America.
- 01The project, titled 'Enhancing Pathology through Quantum Computing,' is the first of its kind in Latin America to integrate quantum computing with machine learning for biomedical applications.
- 02Initial research will focus on renal pathology, specifically kidney lesion classification and automated glomerular segmentation.
- 03The collaboration involves researchers from UC Chile and Brazilian institutions, leveraging curated histopathology datasets.
- 04Dr. Dardo Goyeneche, a key figure in quantum research at UC Chile, will lead the project, which aligns with Chile's National Strategy for Quantum Technologies 2025–2035.
- 05The research aims to create a regional platform for quantum machine learning in health, enhancing the local quantum ecosystem.
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Classiq, a leader in quantum computing software, has partnered with Pontificia Universidad Católica de Chile (UC Chile) to initiate a groundbreaking research project focused on developing hybrid quantum algorithms for biomedical image analysis. This 12-month project, named 'Enhancing Pathology through Quantum Computing,' is funded by Avanza UC 2025 and represents the first consortium in Latin America to merge quantum computing, machine learning, and computational pathology. The research will primarily target renal pathology, addressing critical public health issues in Chile and Latin America, such as kidney lesion classification and automated glomerular segmentation. The project will utilize Classiq's quantum software platform and NVIDIA's CUDA-Q for seamless integration of quantum-classical computing workflows. Dr. Dardo Goyeneche will lead the initiative, which aims to strengthen the regional quantum ecosystem and enhance healthcare solutions. This collaboration also supports Chile's National Strategy for Quantum Technologies 2025–2035, aiming to bolster the country's capabilities in advanced computing and scientific innovation.
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The project aims to enhance healthcare solutions in Chile by applying advanced quantum computing techniques to biomedical image analysis.
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