BioDynaMo collaboration

 On Monday, November 11, 2024, Lukas successfully defended his thesis work, “ Design and Analysis of an Extreme-Scale, High-Performance, and Modular Agent-Based Simulation Platform ” 👏 The core contributions of Lukas’s thesis work are: BioDynaMo significantly reduces the simulation runtime, enabling larger and more complex simulations, faster iterative development, and more extensive parameter exploration. Specifically, BioDynaMo can: simulate 500 billion agents (a 84x improvement over the state-of-the-art), scale to 84’096 CPU cores, significantly reduce the simulation time (e.g., BioDynaMo simulates an iteration of 800 million agents in 0.6 s instead of 5 s), and significantly increases the visualization performance by 39x.

 Not long ago we had advertised a vacancy at CERN to join our collaboration -> link Despite receiving a great response, we failed to meet the right profile (all had great talents, but the acceptable experience accumulated after University degree is a hard requirement), and we are does readvertising the vacancy! Are you a Computer Scientist (or from a related field) and have obtained either: your Master's degree with 2 to 6 years of post-graduation professional experience; or your PhD with no more than 3 years of post-graduation professional experience? Would you say you honed excellent skills in the C++ programming language and have a keen interest in agent-based simulations solutions and computational biology? Are you a national of a CERN Member or Associate Member State? We are looking for you! Apply to join our team and gain experience in one of the most thriving and exciting laboratories in the world!!! https://jobs.smartrecruiters.com/CERN/743999964172854-agent-based-digita...

 We are very excited to announce that our scientific dream team ( Nicolò Cogno , Cristian Axenie ,  Roman Bauer , and Vasileios Vavourakis ) have published a masterpiece review on the topic of " Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation "  They focused on collecting and organizing relevant literature exploring strategies to leverage high-fidelity simulations of multi-scale, or multi-level, cancer models with a focus on verification approached as simulation calibration. The review then culminates in an outline of modern approaches for agent-based models’ validation providing an ambitious outlook toward rigorous and reliable calibration. Learn more by downloading the full text here

Would you like to conduct fundamental and/or applied research on “Brain Neuronal Networks Development via Multiscale Agent-based Modelling"? Don't miss this "Special Scientist - Post-Graduate Researcher (Research Assistant)" vacancy at the University of Cyprus, funded by the Foresight Institute   A great opportunity to join the # BioDynaMo team and work with Roman Bauer and Vasileios Vavourakis Project description : In this project, REASON, we will demonstrate an innovative computational approach to model and emulate biological NNs: rather than directly modelling a brain with all its complexity, we will model NN development from a single precursor cell. In other words, by leveraging the same approach that nature uses to build brains, we aim to reproduce challenging neural complexities. Inspired by the biological brain, we will make use of developmental rules that are encoded in a gene-type manner. For instance, a rule could be that a given neural stem cell should ...

 We are proud to announce the newly published manuscript " Mechanistic model of radiotherapy-induced lung fibrosis using coupled 3D agent-based and Monte Carlo simulations " by Nicolò Cogno , Roman Bauer , and Marco Durante , appearing on  Communications Medicine volume 4, Article number: 16 (2024). Fig. 1: Alveolar segment model in TOPAS-nBio . In this work, the authors develop and characterize a coupled 3D agent-based – Monte Carlo model that mechanistically simulates the onset of the radiation-induced lung fibrosis in an alveolar segment, laying thus the groundwork for further investigating the effects of different radiotherapeutic treatments on the onset of radiation-induced lung fibrosis via mechanistic modelling. The featured 3D agent based models are (of course) developed using the open-source platform BioDynaMo , and the implementation details have been shared in previous work by the same trio  here , and here . Without further ado, if you are interested in ...

Are you interested in digital twins? Is in silico medicine your thing? Apply to this position at CERN and join the BioDynaMo community in making high performance computing strategies accessible to biomedical researchers and practitioners! Click here to read the vacancy description and to apply! Do not hesitate to get in touch with us for any enquiry about BioDynaMo https://jobs.smartrecruiters.com/CERN/743999964172854-agent-based-digital-twins-simulator-it-gov-inn-2024-17-grap-