BIND project focuses specifically on brain involvement in dystrophinopathies, covering deep phenotyping, learning difficulties, autism, and gene therapies in Duchenne patients.
STICHTING KEMPENHAEGHE
Dutch clinical center specializing in epilepsy and neurological disorders, contributing clinical validation and patient expertise to health technology and neuroscience research projects.
Their core work
Kempenhaeghe is a specialized Dutch clinical center focused on epilepsy, sleep disorders, and neurological conditions. In H2020 projects, they serve as a clinical partner providing real-world patient data, clinical validation environments, and domain expertise in neurology and brain disorders. Their participation bridges medical care with emerging sensor technologies and health monitoring systems, offering project consortia direct access to patient populations and clinical workflows where new technologies can be tested and validated.
What they specialise in
Both ASTONISH (smart optical imaging for health) and NextPerception (human monitoring with perception sensors) rely on clinical settings like Kempenhaeghe for real-world validation.
ASTONISH and NextPerception both involve sensor technologies (optical imaging, radar, lidar, time-of-flight) applied to health and human monitoring contexts.
BIND project involves deep phenotyping and animal models for understanding brain involvement in Duchenne Muscular Dystrophy.
How they've shifted over time
Kempenhaeghe's H2020 trajectory shows a shift from technology-supporting roles toward disease-specific clinical research. Their earliest project (ASTONISH, 2016) placed them in a large digital/sensor consortium focused on smart optical imaging for health applications. By 2020, their participation split into two directions: deeper clinical research on specific neurological conditions (BIND, focused on Duchenne Muscular Dystrophy and brain involvement) and continued sensor technology work with a stronger human monitoring angle (NextPerception). The trend suggests they are increasingly valued not just as a clinical test site, but as a knowledge partner in understanding complex neurological conditions.
Kempenhaeghe is moving toward combining their deep neurological expertise with AI and advanced sensor technologies, positioning them for projects where clinical neuroscience meets digital health.
How they like to work
Kempenhaeghe operates exclusively as a participant, never leading consortia — consistent with their role as a clinical partner contributing domain expertise and patient access rather than managing large research programs. Their 82 unique partners across 13 countries indicate they join large, multi-partner consortia (particularly ECSEL-type projects with dozens of participants). This makes them a reliable, low-friction partner who brings clinical credibility without competing for project leadership.
With 82 unique consortium partners across 13 countries from just 3 projects, Kempenhaeghe operates within large European consortia. Their network is broad but likely driven by the large ECSEL-RIA projects rather than deep bilateral relationships.
What sets them apart
Kempenhaeghe occupies a rare niche: a specialized clinical care center for epilepsy and neurological disorders that actively participates in advanced technology projects. Unlike university hospitals that contribute broadly, Kempenhaeghe brings focused expertise in specific patient populations (epilepsy, Duchenne, sleep disorders) combined with willingness to integrate emerging technologies like AI-driven sensors into clinical practice. For consortium builders, they offer something hard to find — a clinical partner that understands both the medical science and the technology development process.
Highlights from their portfolio
- BINDTheir largest funded project (€303K), focused on a specific and underserved clinical area — brain involvement in Duchenne Muscular Dystrophy — combining deep phenotyping with gene therapy research.
- NextPerceptionDemonstrates their cross-domain value: a clinical institution contributing to an advanced sensor technology project involving radar, lidar, edge computing, and explainable AI for human monitoring.