Imagine a high-tech medical lab shrunk down to fit inside a truck that can drive right to where a virus is spreading. It's like a mobile command center that tests humans, animals, and the environment all at once to stop a plague before it starts. To keep it green, it runs on sunlight instead of just noisy generators.
European diagnostic capacity for high-risk viruses is insufficient, with only 3% of mobile labs meeting BSL-4 standards. Most existing labs only test humans, ignoring the animal and environmental sources of emerging diseases.
A BSL-3/4 mobile laboratory on a Mercedes Atego platform with solar power, a whole genome sequencing platform, and an AI-based outbreak prediction and fleet management software.
If you are a national agency dealing with the arrival of arboviruses in Europe — this project developed a BSL-4 mobile laboratory that allows you to diagnose high-risk pathogens on-site. This closes a gap where only 3% of existing labs had the necessary bio-safety level.
If you are a surveillance firm dealing with climate-driven virus migration — this project developed a One Health sequencing platform that analyzes animal and environmental samples. This enables pathogen discovery as close as possible to the vector's habitat.
If you are a software provider dealing with inefficient outbreak response coordination — this project developed an AI-based Decision Support System. It helps predict outbreaks and allocate mobile laboratory fleets to potential hotspot areas in real-time.
Based on available project data, specific pricing or unit costs are not provided.
The project developed a prototype based on a Mercedes Atego platform and tested it in the field, suggesting a blueprint for scalable manufacturing, though mass production numbers are not listed.
Based on available project data, the AI Engine and Decision Support System have undergone version updates, but specific licensing terms are not mentioned.
The laboratory is designed for the European Green Deal, utilizing a photovoltaic system to reduce CO2 emissions.
The project notes that rapid deployment time is a critical requirement, which influenced the choice of a truck platform over a fully electric one due to charging times.
The consortium is well-balanced for a technical rollout, consisting of 9 partners across 5 countries. With a 33% industry ratio (3 companies, including 2 SMEs), the project bridges the gap between academic research (4 partners) and commercial application, ensuring the mobile lab is built to the requirements of actual first responders.
Contact Bernhard-Nocht-Institut für Tropenmedizin in Germany
Contact us to explore licensing for the AI Decision Support System or the BSL-4 mobile lab blueprints.
