Introductions
Lorenzo Veschini
We will outline GLIMPRINT activities and introduce the speakers to the audience.
Junior member mini-presentation
James Doran, Bath University, UK
Equation Learning for multiscale models of infectious diseases
Tuberculosis (TB) is an airborne disease caused by the pathogen Mycobacterium tuberculosis. In 2023, according to the World Health...
This talk will describe agent-based modeling of the early immune response to fungal and viral respiratory pathogens and some applications.
Predicting patient-specific immune outcomes requires frameworks that are mechanistically grounded, scalable across disease contexts, and capable of producing interpretable clinical predictions. We present an integrated pipeline built around a large-scale logic-based mechanistic model of the human immune system.
The model encodes Boolean regulatory logic derived from 449 human experimental...
Critical illness (CI) represents a highly significant healthcare issue, not only because of the resources required for its acute management in ICUs, but also in terms of the lingering health effects as a chronic disease on survivors. A central hallmark of CI is immune dysfunction, with both early hyperactivation leading to organ dysfunction and subsequent immunocompetency leading to increased...
GLIMPRINT (the Global Alliance for Immune Prediction and Intervention) is a community advancing mechanistic modeling methods for infection and immune response, with the long-term goal of enabling immune digital twins—computational representations that connect biological mechanism to patient- and tissue-relevant predictions. This minisymposium highlights complementary multiscale approaches...
