During my training as a Pediatrician in Belgium, I got fascinated by the care for vulnerable infants. An adventurous two year fellowship in Sydney (Australia) made me realize how vulnerable preterm infants surfed between unintended harm and benefit during their stay in the Neonatal Intensive Care Unit (NICU).

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In 2010, I returned to Antwerp (Belgium) were I became a staff specialist in Neonatal Intensive Care of the University Hospital Antwerp (UZA). The NICU in Antwerp has always been on the forefront of digitalization. Surrounded by an abundance of data, I realized how daily clinical care was still mainly driven by intuition and based on years of experience. My academic career as a researcher at the University of Antwerp had been focused on predictive analytics and signal extraction/analysis of vital signs parameters, resulting in 26 peer reviewed academic publications over a 10 year time span. Slowly it dawned on me that my valuable strategic research did not always translate to changes at the bedside for our patients.

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In 2018, it led to the start the of the Innocens Project. Using Machine Learning on high frequency clinical data we aimed to quantify the intuition of medical workers by training algorithms to recognize patterns in clinical data specific for certain pathologic conditions. Our goal was to create bedside AI technology that could augment intelligence of the future clinician surrounded by a rising clinical data load but would also overcome  issues that arise when handling fragile healthcare data. Convinced about the need of our technology and strengthened by a Medtech education at the Vlerick Business School (Brussels), the logical next step was to start a new (ad-)venture. With Innocens BV, we reach out to innovators and early adopters in different domains to help us co-create the future of the Innocens Solution.
Together we create value to what we hold most valuable in our life. Let's improve outcome at a reduced cost.