Artificial intelligence, biomedical data, and supercomputing are transforming the way researchers study complex biological systems. This transformation is giving rise to a new interdisciplinary field: computational biomedicine.
In an interview published by Pandora Rivista, Arnaud Céol, researcher at ICSC – National Centre for High Performance Computing, Big Data and Quantum Computing , explains how the integration of AI, data, and HPC infrastructures is opening new opportunities for scientific research.
Read the full interview on Pandora Rivista
What is computational biomedicine?
Computational biomedicine is an interdisciplinary approach that combines:
biology
medicine
computer science
mathematics
data science
to analyse and model complex biological systems using advanced computational tools. This approach allows researchers to integrate large volumes of biological and clinical data, develop models and simulations, and improve the understanding of disease mechanisms.
Why AI and supercomputing are crucial for biomedical research
In recent years, biomedical research has begun to generate increasingly large volumes of data, coming for example from:
genomic sequencing
medical imaging
clinical data
molecular studies
To analyse and interpret these complex datasets, researchers need high-performance computing (HPC) infrastructures and artificial intelligence tools.
HPC technologies make it possible to:
analyse large-scale biological datasets
integrate data from multiple sources
simulate complex biological processes
Combined with AI, these infrastructures allow researchers to address scientific challenges that were previously extremely difficult to tackle.
The role of research infrastructures and the HPC ecosystem
The growth of computational biomedicine is closely linked to the development of research ecosystems that combine advanced infrastructures with interdisciplinary expertise.
In Italy, the ICSC National Centre for High Performance Computing, Big Data and Quantum Computing plays a key role in developing supercomputing and data science technologies applied to scientific research.
From research to innovation: the contribution of IT4LIA AI Factory
Within this ecosystem, IT4LIA AI Factory contributes to strengthening the European AI landscape by providing:
advanced AI and supercomputing infrastructures
technical and scientific expertise
services dedicated to companies, startups, researchers, and public administrations
- training
The goal is to accelerate the adoption of artificial intelligence and high-performance computing to support the development of innovative applications and solutions.
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