e Seminar #32 Containers and Cloud HPC for Virtual Human Twin

e Seminar #31 Assessing the credibility of computational models application of the FDA endorsed ASM

Virtual You: Fighting the Next Pandemic With Digital Twins

e Seminar #30 The nUCLeus Cloud HPC Service, Creating and Replicating HPC Coursework in the Cloud

The Next Pandemic

Virtual Humans - Deutschsprachige Fassung

Humains Virtuels - Version en langue Française

e Seminar #29 OpenMP in the Exascale Era

e Seminar #28 'Predicting and preventing bone fractures with HPC'

e Seminar #27 DNA Point Mutations in the Absence and Presence of Electric Fields

e Seminar #26 Phase III In Silico Trials of new treatments for osteoporosis using exascale computers

Imposing Ratios of Outlet Flow Rates on Large Arterial Networks with Two-Element Windkessel Model

CompBioMed/DICE collaboration update

Portability and scalability of MD codes for alchemical binding free energy calculations

Science Mesh - Federating Sync-and-Share Services

Leonardo Pre-exascale System: Configuration and Hosting Site

Pushing the Boundariess of Biomedical Science with Frontier

End-to-end Computational Drug Design for COVID-19: From Screening to Series and Back Again

The New European Processor, SiPearl

Predicting resistance to antituberculars in global cloud-based platform

e Seminar #25 Addressing the challenge of drug discovery with Machine Learning and Exascale computin

e Seminar #24 Simulating human cellular blood flow at extreme detail A drop of blood at exascale

e Seminar #23: Supercomputer based in silico clinical trials in cardiac therapies towards exascale

e Seminar #22 Tools and techniques for making efficient use of GPUs

e Seminar #21: Use of Gaussian Process Emulators in cardiovascular and musculoskeletal biomechanics

Introduction to Biomedical Image Registration and the Parallel Framework for Image Registration

e-Seminar #19: Biomedical supercomputing applications

Beginners Guide to HPC

CompBioMed e-Seminar 18: High Performance Containers

e-seminar #17: Machine Learning Coarse-Grained Models with Graph Neural Networks