Liesbet Geris (Virtual Physiological Human Institute, VPH) and
Maria Abou Chakra (Virtual Human Development Consortium, VHD):
Liesbet Geris (VPH) and Maria Abou Chakra (VHD) “Discuss interpretable models and AI”
Emilia Luca, Sunnybrook Research Institute, “The utricle: a microcosm of human balance”
The human utricle is a vestibular sensory organ required for balance, a function that declines with age and currently lacks regenerative treatments.
Open Discussion: Lessons Learned from Modeling COVID-19: Steps to Take at the Start of the Next Pandemic
IMAG/MSM WG Multiscale Modeling and Viral Pandemics & GLIMPRINT Seminar
January 22, 2026 at 10 AM (EST)
Job Berkhout, Utrecht Univ. “Towards a Virtual Embryo: computational modeling of neural tube closure defects”
Neural tube closure is a critical morphogenetic event occurring early in development, between gestational days 23 and 30 in humans.
Shihao Yang, Georgia Institute of Technology “Big-data infectious disease estimation: From flu to covid-19”
For epidemics control and prevention, timely insights of potential hot spots are invaluable.
Nadeem Akhtar, University of Edinburgh “Mathematical Modeling of Beta Cell Turnover Reveals Non-Trivial Contributions of Apoptosis to Pancreas Development”
Organ development is a fundamental process orchestrated by a balanced rate of proliferation and apoptosis.
Emanuele Scacchi, University of Tübingen, Germany “Mobile Small RNAs and Turing Patterns: Coordinating Leaf Polarity and Shape Diversity”
Emanuele Scacchi, University of Tübingen, Germany
“Mobile Small RNAs and Turing Patterns: Coordinating Leaf Polarity and Shape Diversity”
James Sharpe, EMBL Barcelona. Organogenesis: Building a complete multiscale model of limb development
James Sharpe, EMBL Barcelona.
Organogenesis: Building a complete multiscale model of limb development
Nazanin Ahmadi, Brown University. From PINNs to PIKANs: Physics-Informed AI for Systems Biology and Pharmacology
Physics-informed neural networks (PINNs) have opened exciting avenues for integrating mechanistic modeling with data-driven learning.
Malvina Marku, Toulouse University Cancer Institute. Multi-scale computational modelling of tumour-immune interactions: from data-driven approaches to dynamical systems.
Understanding the regulatory mechanisms governing tumour-immune interactions is crucial for advancing targeted therapies in cancer.