DARERL provides computer models and computing services to medical device manufacturers, enabling them to incorporate human variation in their computerized testing and development processes. The core idea behind DARERL’s product is to offer access to a portfolio of multiple foundational mechanistic models for virtual development and testing, a departure from the industry’s current practice of using a single generic model. DARERL’s competitive advantage lies in its in-house software, which allows for faster automated up-scaling of models and statistical analysis on large collections of models. This innovation moves the industry from single in-silico case studies to comprehensive in-silico clinical trials. DARERL leverages extensive medical image datasets, expert knowledge of anatomical geometry in neural networks, finite element analysis, and statistical population analysis.

The DARERL Team

Kenny Erleben
Sune Darkner
Sandra Fredmark
Kenny Erleben
CEO, Founder
Sune Darkner
CTO, Founder
Sandra Fredmark
VP of Legal
Sarah Maria Niebe Abel
Silas Nyboe Ørting
Hans Jacob Teglbjærg Stephensen
Sarah Maria Niebe Abel
Senior Developer, Simulation Specialist
Silas Nyboe Ørting
Senior Developer, Medical Image Specialist
Hans Jacob Teglbjærg Stephensen
Senior Developer, ML & AI Specialist

Our Advisory Board

Karsten Bo Rasmussen
Enrique Morales Orcajo
Karsten Bo Rasmussen
Industry Advisor
Hearing Aid Industry Opinion Leader
Enrique Morales Orcajo
Technology Advisor
In Silico Medicine Opinion Leader
Lars Konge
Michael Bachmann Nielsen
Lars Konge
Clinical Advisor
Professor of Cardio-thoracic Surgery & Medical Education
Michael Bachmann Nielsen
Clinical Advisor
Professor of Radiology

The need for Digitalizing Clinical Trials

Developing and testing new medical devices traditionally involves costly and time-consuming incremental tests of physical prototypes. These tests carry a high risk of delays or unsuccessful regulatory approval. In the conventional approach, each prototype must be built and tested sequentially in the real world, with each experiment needing to be completed before the next can begin. DARERL transforms this process for our customers. Our virtual solution enables testing on large populations of digital human models, bypassing real-world bottlenecks and providing enhanced statistical analysis.

The History of DARERL

DARERL ApS was founded as a start-up company by Professor Kenny Erleben and Professor Sune Darkner from the University of Copenhagen. The company emerged in connection with the EU RIA project, Intelligent Robotic Endoscopes for Improved Healthcare Services (IRE), funded under HORIZON-CL4-2023-DIGITAL-EMERGING-01.

The technology behind DARERL was originally published and open-sourced under the Horizon 2020 project RAINBOW, which concluded on 31/03/2022. The European Commission Innovation Radar analyzed this innovation based on data collected on 11/11/2019. The JRC’s Market Creation Potential indicator framework assessed the innovation as addressing the needs of existing markets and customers.

Early versions of DARERL’s Digital Twin Technology were applied to orthodontics and orthopedic use cases. Our technology has produced some of the highest quality publicly available digital populations, such as LibHip and Open-Full-Jaw. Since 2019, the technology has matured, and as of 2024, it can handle more cases, including virtual kidneys and colons.

DARERL technology has been tested and documented through a series of scientific publications.