AA Health targets mathematical research to overcome main problems in computational approaches to elucidate disease pathogenesis at the molecular or physiological level, which may lead to the design of specific tools for disease treatment or prevention. Directions include:
- Effective multiscale models of cellular dynamics and math-powered drug design
- Data-driven modeling of evolutionary processes
- Co-evolution in public health
Previous denominations: Life Sciences (2019-2022), Mechanisms of Life (2023-2025)
Scientists in Charge: Max von Kleist, Christof Schütte
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- AA-Health-1: Trajectory Generator Matching with Applications to Time-Dependent Inverse Problems
Tim Jahn, Markus Reiß - AA-Health-2: Learning Fast and Accurate Long-Ranged Interactions in Multiscale Molecular Systems
Frank Noé, Cecilia Clementi - AA-Health-3: Randomization of Surrogate Models for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models
Alfonso Caiazzo, Ana Djurdjevac, Francesco Romor - AA-Health-4: Modeling Synaptic Plasticity: A Data-Driven Approach to Neurotransmission Dynamics
Manuel Landstorfer, Christof Schütte, Stephan Sigrist, Stefanie Winkelmann
- AA-Health-1: Trajectory Generator Matching with Applications to Time-Dependent Inverse Problems
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- AA1-1: The Spatio-Temporal Modelling of Mechanisms Underlying Pain Relief via the µ-Opioid Receptor
Martin Lohse, Christof Schütte, Christoph Stein, Marcus Weber, Stefanie Winkelmann - AA1-2: Learning Transition Manifolds and Effective Dynamics of Biomolecules
Péter Koltai, Stefan Klus, Klaus-Robert Müller, Christof Schütte - AA1-3: Stochastic Analysis of Particle Systems: Langevin Dynamics and the Dean-Kawasaki Model
Peter Karl Friz, Ralf Kornhuber, Nicolas Perkowski - AA1-4: Algebraic Methods for Investigating Cell Fate Decisions
Heike Siebert, Christian Haase - AA1-5: Space-Time Stochastic Models for Neurotransmission Processes
Christof Schütte, Stephan Sigrist, Stefanie Winkelmann - AA1-6: Data-Driven Modeling from Atoms to Cells
Frank Noé, Cecilia Clementi, Christof Schütte - AA1-7: Yeast Mating in Space and Time
Edda Klipp - AA1-8: Random Bifurcations in Chemical Reaction Networks
Maximilian Engel - AA1-9: Polyhedral Geometry of Virus Capsids
Michael Joswig, Marta Panizzut, Bernd Sturmfels - AA1-10: New Methods for Inhibiting Sars-Cov2 Cell Entry
Frank Noé, Oliver Daumke - AA1-11*: Receptor Dynamics and Interactions in Complex Geometries: An Inverse Problem in Particle-Based Reaction-Diffusion Theory
Paolo Annibale, Martin Lohse, Christof Schütte - AA1-12*:Mathematical Modelling of Cellular Self-Organization on Stimuli Responsive Extracellular Matrix
Sara Checa, Ansgar Petersen, Barbara Wagner - AA1-13*: Predicting the Clinical Course of COVID-19 Patients
Marcus Weber, Tim Conrad - AA1-14: Development of an Ion-Channel Model-Framework for In-vitro Assisted Interpretation of Current Voltage Relations
Jürgen Fuhrmann, Manuel Landstorfer, Barbara Wagner - AA1-15: Math-Powered Drug-Design
Konstantin Fackeldey, Christof Schütte, Vikram Sunkara, Christoph Stein, Marcus Weber, Stefanie Winkelmann - AA1-16: Spatial Dynamics of Cell Signalling Explored with Agent-Based Modeling
Edda Klipp, Rune Linding, Caren Tischendorf - AA1-17: Beyond Attractors: Understanding the Transient and Modular Behaviour of Boolean Networks
Elisa Tonello - AA1-18: Synchronization and Geometric Structures of Stochastic Biochemical Oscillators
Maximilian Engel, Felix Höfling, Stefanie Winkelmann - AA1-19: Drug Candidates as Pareto Optima in Chemical Space
Konstantin Fackeldey, Christof Schütte, Vikram Sunkara, Jörg Rademann, Marcus Weber, Stefanie Winkelmann - AA1-20: Geometric Learning for Single-Cell RNA Velocity Modeling
Daniel Baum, Tim Conrad, Christof Schütte, Vikram Sunkara, Christoph von Tycowicz
- AA1-1: The Spatio-Temporal Modelling of Mechanisms Underlying Pain Relief via the µ-Opioid Receptor
Projects marked with an asterisk (*) were short-term one-year pilot projects.