Posts

Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation

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 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

New vacancy with BioDynaMo: Research Assistant at the Univ. of Cyprus

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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

Mechanistic model of radiotherapy-induced lung fibrosis using coupled BioDynaMo and Monte Carlo simulations

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 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 studying

VACANCY: Agent-based Digital Twins Simulator (IT-GOV-INN-2024-17-GRAP)

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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-

Bridging scales: A hybrid model to simulate vascular tumor growth and treatment response

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 According to the GLOBOCAN collaboration, cancer is one of the deadliest diseases worldwide and was responsible for one out of six fatalities in 2020 , and the estimated global economic cost of cancers from 2020 to 2050 is substantial, $25.2 trillion in international dollars (at constant 2017 prices), equivalent to an annual tax of 0.55% on global GDP . Graphical abstract of DOI:  10.1016/j.cma.2023.116566 It comes to no surprise that the rate of oncology indication approvals has increased, from January 2000 to October 2022, driven by approvals for targeted therapies, as has the rate of introduction of new therapeutic approaches . If drugs are becoming ever more precise, and the number of potential targets is growing, our ability to aim (to match the treatments and patients and disease evolution) is coming under stress and initiatives the US Cancer Moonshot programme , focusing on high-tech science, big data, and patient-centred care, bear witness to the huge efforts required by precis

Congratulations to the 2024 Longevity Biotech Fellows!

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 Congratulations to Sara LaHue, Michael Florea, Sruthi Sivakumar, Mahdi Moqri, Herbert Fountain, Elena Sergeeva, and our spokesperson Roman Bauer for being elected Foresight Institute 2024 Longevity Biotech Fellows !! .

End-of-2023 message and Season's greetings

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  Dear all,  As we are approaching the end of 2023, we would like to take the opportunity to briefly reflect on this year and the future.  This year, we had several crucial successes. We would like to specifically mention/highlight: The paper presenting BioDynaMo’s exceptional performance was published in the Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming. The work provides an impressive evaluation when considering also other well-established software: https://dl.acm.org/doi/abs/10.1145/3572848.3577480 The first neuroscientific paper using BioDynaMo was published in the prestigious journal Royal Society Open Biology, by previous BioDynaMo member Dr Jean de Montigny as first author:  https://royalsocietypublishing.org/doi/full/10.1098/rsob.220217 We organised three international, hybrid meetings that included speakers talking about BioDynaMo and its applications (see for instance https://www.combynelab.com/home/news/cambi2023 ). W