From Single Studies to Stronger Evidence: The Power of IPD Pooling
Transforming Fragmented Data into Robust, Actionable Evidence In clinical research and healthcare decision-making, a single study can provide valuable insights. However, relying on isolated data often leaves gaps. To build truly robust, credible, and actionable evidence, we must look at the bigger picture—combining and analyzing multiple studies together with the utmost scientific rigor. At Quinten […]
Quinten Health : the Evidence Operating System
Building Decision-Grade Evidence in Complex Clinical Contexts How Quinten Health supports clinical, regulatory, and access decisions with a patient-centric framework Why “complex contexts” require a different evidence strategy In many therapeutic areas, the evidence questions that matter most are also the hardest to answer. This is especially true for rare diseases, pediatric indications, and severe […]
Speeding up Systematic Literature Reviews with AI
Accelerating Systematic Literature Reviews: How AI is redefining Evidence-Based Medicine Systematic Literature Reviews (SLRs) remain the gold standard for evidence-based medicine. However, the traditional process faces a significant hurdle: the manual screening of thousands of abstracts. This phase is notoriously slow, resource-heavy, and susceptible to human fatigue, creating a bottleneck in the delivery of critical […]
An AI-Powered Tool to Identify and Assess Fit-for-Use Registries for Drug Development and Evaluation
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Ghinwa Y. Hayek, Boris Kopin, Sonia Zebachi, Gaëtan Pinon, Basile Ferry, Elisabeth Bakker, Alexandre Macquin, Sieta T. de Vries, Peter G.M. Mol, Billy Amzal View Poster OBJECTIVES Selecting appropriate real-world data (RWD) sources, particularly registries, is a primary challenge for academia, industry, regulators, and health technology assessment (HTA) […]
An AI powered tool to identify and assess fit-for use registries for real-world evidence
Event: EuroDURG 2025, Uppsala, Sweden Authors: Ghinwa Y. Hayek, Pascal Godbillot, Coriande Clemente, Sonia Zebachi, Gaëtan Pinon, Boris Kopin, Elisabeth Bakker, Sieta T. de Vries, Peter G.M. Mol, Billy Amzal View publication Abstract The selection of appropriate real-world data (RWD) sources, particularly registries, is of primary concern for academia, industry, regulators, and health technology assessment […]
Existing automated tools to assist evidence generation and better qualification of registries and real-world data. A systematic review from the More-EUROPA project
Event: ISPOR Europe 2023, Copenhagen, Denmark Authors: P. Godbillot, P. Tang, J. Moreira, J. Tanniou S. Zebachi, B. Amzal View Poster Objectives The More-EUROPA project consortium brings together 14 public and private entities from 7 countries with the aim of enhancing the ethical and effective utilization of registry data to facilitate patient-centered decision-making by drug regulators and Health Technology Assessment […]
A machine learning algorithm to identify persons at risk of Gaucher disease using EHR in the United States
Gaucher disease is a rare inherited lysosomal storage disorder (LSD) which mainly leads to hepatosplenomegaly, anemia, thrombocytopenia, bone lesions/symptoms, and neurological impairment. Its progressive clinical manifestations are often highly debilitating, shorten lifespans and are considerably variable.
Alexandre Templier will speak at the Real-World Evidence and Market Access Conference
Quinten Health will be at the Real-World Evidence and Market Access Conference in Frankfurt, Germany. Alexandre Templier (President)will attend as a speaker the Real-World Evidence and Market Access Conference – EU Edition. In this session, he will unveil next-generation disease and care models, powered by artificial intelligence, to support drug clinical development, market access and life […]
