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IIS La Fe builds a high-performance data processing center for health research
The aim of this computational analysis platform is to optimize the processing of clinical data and medical images in biomedical research.
The new infrastructure will enable the development of advanced artificial intelligence models to accelerate disease diagnosis.

The La Fe Health Research Institute (IIS La Fe) has begun construction of a High-Performance Computing (HPC) Data Processing Center (DPC), a strategic infrastructure designed to optimize the analysis of clinical data and medical images.
Led by Luis Martí Bonmatí, head of the Biomedical Imaging Research Group at IIS La Fe (GIBI 230), and telecommunications engineer Amadeo Ten, the project will provide the institution with the necessary technological capacity to analyze large volumes of data quickly, securely, and efficiently.
The new DPC will make it possible to develop advanced artificial intelligence models that will speed up disease diagnosis and improve the accuracy of medical image interpretation. This will lead to faster diagnoses and more personalized treatments, benefiting both patients and healthcare professionals.
According to Dr. Martí Bonmatí, "this infrastructure will enable the application of AI models that detect patterns in medical images with unprecedented precision. This will not only assist radiologists but also improve treatment personalization for each patient."
A Technological Leap Forward for Health
The analysis of medical images, such as MRIs and CT scans, requires advanced tools and infrastructures capable of processing large volumes of information. The supercomputing power based on Graphics Processing Units (GPUs) will allow for the analysis of these images in record time, improving diagnostic accuracy and speeding up treatment planning.
Thanks to this GPU technology-originally designed for handling graphics and rendering in computers-the new data center will significantly reduce processing times, optimize the interpretation of medical images, and facilitate their segmentation and classification, thus contributing to faster and more accurate diagnoses.
The total budget for this project exceeds €697,000, funded by the Departments of Innovation, Universities, Science and Digital Society and Education, Culture, Universities and Employment, along with the research group itself. The project is also supported by the Department of Health, through the Directorate General of Research, and is scheduled for completion in June 2025. It includes the design, supply, installation, and commissioning of all necessary equipment.
The new DPC will allow IIS La Fe to collaborate with hospitals, research centers, and universities, providing access to supercomputing technologies to institutions that currently lack such resources. It will also strengthen interdisciplinary collaboration between experts in artificial intelligence, bioinformatics, and data science.
This infrastructure will serve as a training platform for researchers and students by equipping them with advanced knowledge in supercomputing applied to biomedicine. The project will foster experimentation with new computational models, algorithm validation in massive datasets, and the generation of knowledge applicable to both research and innovation.