2024, 18 January
Les Grandes Tendances e-santé 2024
Explore the Future of digital health (E-santé): Engage with industry leaders at Station F in Paris and delve into the digital health...
2023, 12 November
Existing practices for the identification, selecti...
The selection of an appropriate registry plays a critical role in RWD-based research, as registry features directly impact the quality of statistic...
2023, 13 September
Quinten Health at BiotechX Europe 2023 for the sec...
Quinten Health will be at BioTechX Europe in Basel, Switzerland.For the second year running, Quinten Health will be present at BioTechX! It's an...
2023, 06 July
Machine learning algorithm identifies undiagnosed ...
Experts at Quinten Health have developed a supervised machine learning algorithm to identify undiagnosed episodes of pertussis in adolescents and...
2023, 29 June
Developing a machine learning algorithm to detect ...
Quinten Health has developed a machine learning algorithm to identify misdiagnosed or undiagnosed episodes of whooping cough in patients...
2023, 20 June
Quinten Health’s poster selected for presentatio...
Quinten Health's team presented their poster “Artificial intelligence for real-life disease modeling: vision, examples and impact on drug...
2023, 17 May
Machine Learning (ML) applied to real-world data t...
The purpose of this work is to explore and identify early predictors of IO responses measured in real-world practice, with the goal of guiding pres...
2023, 19 April
“Securing & accelerating clinical developme...
Alexandre Templier, President of Quinten Health, was invited last Thursday by Norbert Nabet (Ziwig Biotech) to take part in a round table...
2022, 02 November
We will speak at BiotechX 2022
Quinten Health will be at the Biotech X 22 at Basel Congress Center, Switzerland.Alexandre Templier (President and co-founder) and Frank Ahrens...
2019, 18 June
Projeter l’efficacité d’un traitement en vie ...
Nous proposons une approche alternative en plusieurs étapes, à travers un algorithme de suréchantillonnage pour apparier chaque patient issu dâ€...