PN 2: Project Overview

PN 2-1A	Data-integrated Modeling to Provide Novel Solutions for Individualizing Cancer Therapy and Predicting Treatment Success
PN 2-1B	Data-integrated Modeling to Provide Novel Solutions for Individualizing Cancer Therapy and Predicting Treatment Success
PN 2-2A	Data and Model Driven Multiscale Simulation of Tumor Growth in Liver Cell, Tissue and Organ
PN 2-2B	Data-Integrated Simulation of Tumour Growth and Regression in Brain Tissue
PN 2-3A	Investigating sensorimotor interaction through selective sensory perturbations
PN 2-3B	Enhanced proprioceptor dynamics to predict sensorimotor interaction of a biophysical hand-arm-model
PN 2-4A	Machine learning-based decomposition of the activity of individual motor units from synthetic and experimental data
PN 2-4B	Machine learning-based decomposition of the activity of individual motor units from synthetic and experimental data
PN 2-5	Molecular Dynamics Simulations of the Substrate Recognition of Protein Lysine Methyltransferases
PN 2-6	Software-driven RDM (sdRDM), a generic and extensible bottom-up research data management concept and its application in biocatalysis and beyond
PN 2-7	Data-Integrated Training of Surrogate Models for Uncertainty Quantification and Diagnostics of Complex Biological Systems Models

PN 2A-1	Validation of recent theories of skeletal muscle contraction: experiments and modelling
PN 2A-2	The Cyber-Physical Twin of the Human Organ