For 20 years, we've been democratising EFX
From 1988 to 1998 At UCPX (Unité Cardio Pulmonaire à l'eXercice - Cardiopulmonary Exercise Unit), we have developed an analysis of the physiological responses to exercise observed in a variety of clinical situations, with the aim of optimising medical decisions.
Since 1999HYLAB has shared and enriched its EFX experience by organising training courses in clinical pathophysiology. From these exchanges have emerged new questions resolutely focused on the way in which doctors make decisions in the course of their everyday practice. In other words, going beyond the "morphological" approach based solely on the detection of anatomical or functional deficiencies observed at rest using different medical speciality techniques (functional respiratory investigation, ultrasound, imaging, etc.).
Until 2010HYLAB also made an active contribution to therapeutic trials with the pharmaceutical industry, and then focused its research on the use of clinical and physiological data collected in real life.
Since 2011HYLAB has acquired new skills in the field of digital technology and AI by developing the Colibri-Pneumo (https://www.colibri-pneumo.fr)
In 2021, Working with experts in exercise physiology and statistics, HYLAB has developed a SaaS (CPET-Studies) which allows :
- collection of measurements taken cycle by cycle during EFX/CPET
- calculate derived variables in a consistent way, so that multi-centre studies on topics of interest can be carried out with agility and method.
Our areas of intervention
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What we do
EFX
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Artificial intelligence
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This is the title
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EFX: From interpretation to medical decision
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Artificial intelligence for medical decisions
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EFX: From interpretation to medical decision
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A heading to break up the paragraph
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