HPC+ in the medical field: Overview and current examples

Area of Science:

• Medical Informatics
• Computational Biology
• Health Services Research

Background:

• The medical sector is experiencing a data revolution, generating unprecedented volumes of data with the potential for transformative healthcare advancements.
• Processing this vast amount of medical data requires substantial computing power beyond the capabilities of standard desktop computers.
• High-Performance-Computing (HPC), High-Performance Data Analytics (HPDA), and Artificial Intelligence (AI), collectively termed HPC+, are essential for managing and analyzing this data.

Purpose of the Study:

• To present state-of-the-art examples of medical applications supported by National Competence Centres (NCCs) in HPC+.
• To highlight the role of the EuroCC project in facilitating these advancements.
• To showcase the use of HPC, HPDA, and AI in various medical fields.

Main Methods:

• Compilation of studies from National Competence Centres in HPC focusing on medical applications.
• Overview of HPC+ applications including medical image processing and high-performance data analytics.
• Inclusion of specific use cases such as pediatric dosimetry and cloud-based HPC for surgical procedures.

Main Results:

• Demonstration of state-of-the-art applications of HPC+ in surgery and medical diagnostics.
• Showcasing large-scale data analytics for patient nutritional support and treatment of congenital heart diseases.
• Highlighting HPC+ contributions to basic medical research and clinical practice.

Conclusions:

• HPC+ significantly supports scientific and industrial applications within the medical domain.
• Enables faster and more complex calculations, simulations, and data analyses.
• Accelerates medical research and directly benefits patients, doctors, and clinicians.