Dynamical Model-based Artificial Intelligence

A unique solution to data analysis, modeling and
simulation problems in medicine.

SERVICES

Dynamai offers in silico services for biologists, clinicians, and pharmaceutical companies.

Bringing dynamical and mechanistic insights in biomedical data

Using your biomedical measurements, we help you to understand the underlying disease mechanisms and translate them into clinically relevant predictions.

Personalized solutions in systems medicine

We offer individualized calibration of computational models based on clinical data to predict patient-specific disease dynamics and potential treatment outcomes.

Clinical decision support tool development

We develop medical apps that integrate personalized systems medicine solutions to support diognostic and prognostic procedures in clinics.

Biomarkers discovery

We use proprietary data analysis methods to assist biomarkers discovery in complex biomedical data.

In silico assisted design and optimization of clinical trials

We optimize clinical trials design, by leveraging our computational methodologies, to increase success probability and provide insights on underlying risk factors.

Advanced data analysis and artificial intelligence services

We combine mechanistic modeling and machine learning algorithms to develop beyond state-of-the-art AI methods.

DynamAI Team

Dr. Majid Abedi

Project Lead

He accomplished his Ph.D. in Physics in the field of quantum optics in 2014. Since 2013 he has been working in research and industrial sector as computational software developer. His focus is on data science, simulation of biological systems and mathematical modeling.

Michael Meyer-Hermann

Advisory Board, Physics, PhD

He studied Physics, Mathematics, and Philosophy in Frankfurt/Main and Paris and accomplished his Ph.D. in Theoretical Elementary Particle Physics in Frankfurt/Main. Since 2010, he heads the Department Systems Immunology at the Helmholtz Centre for Infection Research in Braunschweig, Germany.

Arash Dianati

Business Development and Innovation Manager

He studied Technology Entrepreneurship and accomplished his MS.c in 2012. His work is focused on technology transfer from academic groups into the industry.

Muhammad Bilal

Pharmacometrician

Muhammad Bilal recently completed his PhD at Rheinische Friedrich-Wilhelms-Universität Bonn and joined DynamAI as a passionate and skilled pharmacometrician. With a strong foundation in population pharmacokinetics and pharmacodynamics, he brings valuable expertise in the modeling and simulating anti-infective drugs.