Rewoso
Your Partner in
Data-driven
Health
Rewoso
Your Partner in
Data-driven
Health
What we do
Rewoso for
Pharmaceutical Industries
Rewoso for Pharmaceutical Industries
We are your partner for real-world evidence insights.
Rewoso for
Medical Research & Academia
Rewoso for Medical Research & Academia
We support your research and registry digitalization.
Rewoso for
Digital Health Technologies
Rewoso for Digital Health Technologies
We work with you from development to market access.
Explore our 37 most recent scientific publications and conference presentations on real-world evidence
AI for Early Diagnosis of Progressive Multiple Sclerosis
Braune et al. (2024). Accuracy of MSBase criteria to diagnose secondary progressive multiple sclerosis in large German real-world patient cohort. Multiple Sclerosis and Related Disorders
Employing machine learning on real-world data, we tested if secondary progressive multiple sclerosis (SPMS) can be diagnosed earlier from criteria in the literature (MSBase). The results from testing a new algorithm SPMS can be diagnosed earlier than with current methods. We suggest refinements to improve diagnostic accuracy to benefit patients by earlier intervention.
Real-world Data (RWD) as Meticulous External Control Arms
Muros-Le Rouzi et al. (2024). Five-year efficacy outcomes of ocrelizumab in relapsing multiple sclerosis: A propensity-matched comparison of the OPERA studies with other disease-modifying therapies in real-world lines of treatments. Journal of Central Nervous System Disease
By carefully aligning real-world cohorts to clinical trial cohorts, we showed the effectiveness of a disease-modifying treatment for multiple sclerosis against different existing treatments. The results highlighted the treatment effects in reducing relapses and slowing disease progression.
Precision Medicine to Individualize Therapy Choices
Braune et al. (2022). PHREND®-A real-world data-driven tool supporting clinical decisions to optimize treatment in relapsing-remitting multiple sclerosis. Frontiers in Digital Health
This paper introduced PHREND®, an AI-based algorithm that predicts the effectiveness of multiple sclerosis treatments for individual unique patients based on extensive longitudinal registry data. Tailored to patient-specific characteristics, PHREND® supports doctors and patients in making informed decisions to improve outcomes, reduce relapses, and enhance quality of life.
Clients about Rewoso
Erwan Muros-Le Rouzic
Global Real-World Data Lead, Multiple Sclerosis
Roche
“I had the pleasure of working with Rewoso on real-world evidence projects focused on multiple sclerosis, particularly drug utilization and socio-economic disease burden. I really appreciated Rewoso’s professionalism and commitment to high-quality research, defined by their rigorous scientific approach and strong methodological expertise. The team was extremely responsive and always available to address any queries or concerns that arose during these projects. Through these collaborations, we gained comprehensive insights into the societal impact of multiple sclerosis and the importance of treatment attributes in achieving the greatest clinical benefit for patients.”
Alex Kulla
Global Head of Neurology & Immunology
Merck KGaA
“In personalised medicine, progress often requires navigating complex scientific and operational challenges. Our collaboration with Rewoso on PHREND, a predictive algorithm that supports tailored treatment decisions, demonstrated what is possible when expertise, innovation, and execution align.
The Rewoso team worked as effective partners, combining strong data science capabilities with a clear understanding of our clinical requirements.
Their methodical approach resulted in a solution that integrates smoothly into our workflows, supporting both patient care and clinical decision-making.
I appreciated Rewoso’s precision and commitment to quality. Their ability to translate complex data into practical healthcare applications has helped us address specific challenges with tangible outcomes.“
10+
Pharma Partners
15+
University Partners
10+
Digital Health Partners
