Imagine if doctors could see how cells are actually 'breathing' and eating instead of just looking at the size of a tumor. This technology adds a special lens to powerful MRI machines to track chemical markers of disease. It allows doctors to tell if a drug is working months earlier than they can today.
Current medical imaging often detects disease changes too late, leading to months of wasted time and money on ineffective therapies. There is a need for non-invasive tools that can see metabolic changes in real-time.
A double-tuned and quadruple-tuned imaging set for 7T MRI, including hardware, processing software, and standardized phantoms.
If you are a scanner manufacturer dealing with a plateau in machine demand — this project developed hardware and software inserts that increase the clinical utility of 7T MRI machines. This makes the machines more attractive to research and general medical centers.
If you are a pharma company dealing with slow clinical trial readouts for oncology or cardiac drugs — this project developed a non-ionizing imaging tool that detects metabolic markers. This allows you to establish the effectiveness of therapies months sooner than current technologies.
If you are a clinic dealing with high costs of unsuccessful therapies for muscle or lung diseases — this project developed a quadruple tuned imaging set. This enables personalized therapy adjustments by visualizing energy metabolism and cell proliferation.
Based on available project data, specific pricing is not mentioned, but the goal is to commercialize by providing the technology to clinicians in research centers and general medical centers.
The project targets the existing install base of more than 100 7T MRI machines worldwide and plans to expand to general medical centers within 3 years after the project ends.
Based on available project data, the partners aim to commercialize the technology directly, though specific licensing terms are not detailed.
The technology is intended for research centers immediately after the project and for general medical centers within 3 years.
It is designed as a set of hardware components, processing software, and pulse sequences specifically for 7T MRI platforms, including Philips scanners.
The consortium is lean and research-heavy, consisting of 5 partners across 4 countries. With a 20% industry ratio (1 company), the project relies heavily on academic excellence from 3 universities and 1 research institute, led by UMC Utrecht. This structure suggests a focus on high-tech validation and clinical proof-of-concept rather than immediate mass production.
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