Our R&D for medical language
PraxySanté develops tools for conversation and medical language analysis used in products that are easily accessible to healthcare professionals and pharmaceutical industries.
Language analysis technologies (NLP, neural networks, deeplearning and then LLM) have developed significantly over the past 15 years and are now mature enough to build products that provide a useful, reliable and secure service to healthcare professionals.
Our R&D works on these main objectives:
1. The repeatability and accuracy of results with LLM-type models
"Large language models" are particularly well-suited for summarising long texts or conversations. However, their results are not natively accurate, repeatable, and not in the expected format. Our R&D develops best practices for retraining and controlling results to ensure reliable results over time and continuous improvement
2. The extraction of structured data from medical language (LOINC, SNOMED, .)
to improve the quality monitoring of clinical trial data and accelerate real-life studies.
3. The use of language models in our infrastructure
To ensure HDS compliance, with optimisation of operating costs, we invest in optimising large language models for audio transcription and text analysis, databases
A multidisciplinary team from healthcare, AI and software development and consulting
Damien Forest, CEO
Damien has a 15-year track record in technology startups, consulting and industry, notably marked by the development of an autonomous robotics company (Rovenso), the management of a WaterTech company's operations (Castalie), and more recently the transformation of a Business Unit in healthcare services (La Poste Santé & Autonomie).
Rian Touchent,
Language model scientist
Rian is passionate about AI (ex. president of the AI association at ECE), and is currently working with INRIA and as part of the Oncolab programme on a thesis on data extraction for medical language
Benoit Fage,
Full stack engineer, lead back end
Benoit is passionate about technology and has experience in software development in the energy and cybersecurity sectors.
Julien Vedani,
Patient relationship advisor
Doctor of Mathematics and Actuary, Julien is also president of a patient association for people with MS. He holds a degree in Healthcare Democracy - Medication - Patient Partnership, and helps us design products involving patients
Mikael Chelli, Orthopaedic surgeon, co-product owner
Mikael is both a practitioner (orthopaedic surgeon and traumatologist) at ICR, and an entrepreneur, founder of the startup Easymedstat which facilitates clinical research work.
Jorge Korgut, Full stack engineer
Jorge is very versatile and develops our applications for mobility and video conferencing
Augustin Berthod, Developer Full stack
Augustin is versatile and specialises in front-end development, with successful experiences in developing autonomous robot control software or energy efficiency pilot solutions
Marwen Arfa, Front End engineer
Passionate about front-end development, Marwen has worked on numerous software development projects for 10 years