Systems Medicine, Digital Twins & AI

Metabolic Inflammation and Carcinogenesis of the Liver

Digital Twins

Physiologically based models that mirror individual patients, from molecule to whole body.

AI

Mechanistic modeling meets machine learning for predictive, personalized medicine.

Digital Pathology

AI-driven analysis of whole-slide histology to quantify liver structure and disease at scale.

Pharmacometrics

Physiologically based pharmacokinetic/ pharmacodynamic models for precision dosing.

Open & FAIR

Reproducible, standardized models and data that the community can build on.

We build open, FAIR digital twins of human physiology — AI-powered models that predict disease and therapy, patient by patient.

Prof. Dr. Matthias König
Prof. Dr. Matthias König Group Leader

Data scientist, data analyst, computational modeler, bioinformatician, group leader. Application of computational modeling and machine learning to biological, medical and clinical questions and data...

Mariia Myshkina
Mariia Myshkina Ph.D. Student

Mariia works on ATLAS, a decision support tool for hepatocellular carcinoma (HCC). Based on AI methods, ATLAS processes all relevant patient data from databases,...

Shubhankar Palwankar
Shubhankar Palwankar Scientific Researcher

Shubhankar worked on enhancing our understanding of enalapril's pharmacokinetics and dynamics based on a physiologically based modeling approach. The work will build on top...

Michelle Elias
Michelle Elias Master Thesis

Michelle develops a physiologically based pharmacokinetic/ pharmacodynamic (PBPK) model of the sulfonylurea glimepiride. The objective is to enhance our understanding of the underlying causes...

Mariia Babaeva
Mariia Babaeva Student Assistant

Mariia works on a physiologically based model of lisinopril. Key questions are the effect of hepatic and renal disease on lisinopril pharmacokinetics and pharmacodynamics....

Amanda Schwaiger
Amanda Schwaiger Medical Thesis

Amanda develops a physiologically based pharmacokinetic/ pharmacodynamic (PBPK/PD) model of the diuretic hydrochlorothiazide. The objective is to enhance our understanding of how hydrochlorothiazide changes...

Minjun Kim
Minjun Kim Humboldt Internship Project

Kim is developing a physiologically based pharmacokinetic/ pharmacodynamic (PBPK/PD) model of the GLP-1 receptor agonist dulaglutide to better understand its absorption, distribution, metabolism, and...

Jessica Cruz
Jessica Cruz Humboldt Internship Project

Jessica Cruz is developing a physiologically based pharmacokinetic (PBPK) model of the leukotriene receptor antagonist montelukast to better understand its absorption, distribution, metabolism, and...

Shelee Bedón
Shelee Bedón Internship Project

Shelee is developing a physiologically based pharmacokinetic (PBPK) model of the multikinase inhibitor lenvatinib to better understand its absorption, distribution, metabolism, and excretion. The...

Chang Linh Nguyen
Chang Linh Nguyen Bachelor Project

Chang Linh is developing a physiologically based pharmacokinetic (PBPK) model of the β2-adrenergic receptor agonist albuterol (salbutamol) to better understand its absorption, distribution, metabolism,...

Sandeep Konaka Gautamdas
Sandeep Konaka Gautamdas Internship Project

Sandeep is developing a physiologically based pharmacokinetic (PBPK) model of the multi-kinase inhibitor regorafenib to better understand its absorption, distribution, metabolism, and excretion. The...

Antonio Aquiles Alvarez Aguilar
Antonio Aquiles Alvarez Aguilar Internship Project

Antonio will delve into the influence of parameter variability in PBPK models, focusing on the consequential effects for dynamic liver function assessments. The overarching...

What if every medical model served you, not the average — and belonged to everyone?