FlowView Diagnostics
Intelligent decision support for Flow cytometry
Unleash the full potential of Flow cytometry data. Transparent from cell to care. Evidence based AI decision support.
FlowCytometry (MFC)
Intelligent Decision Support is the future of patient care.
Powered by AI, the Asudes platform is a Clinical Decision Support Platform for Flow cytometry that helps analyzing very complex data sets, enabling care teams to save time by reducing variabilities in outcomes, reduction in processing time, and improve the lives of patients.
The Asudes Platform
Powered by evidence-based AI analysis, FlowView delivers transparency from Cell to Care.
Asudes offers a pipeline where data remains data, insights remain insights and decisions become valuable.
SUPPORTING PHYSICIANS WITH A VISUAL INDICATION OF DISEASE DEVELOPMENT
- Intuitive understanding of the state of the level of abberant cells in a bloodsample
- Prediction capabilities of deterioration of disease
- Presenting and tracking trends
- Various user expert levels based on clinical role
MULTIPLE DISEASE INDICATIONS ON ONE PLATFORM
Cloud-based and configurable per indication
- Licensing per indication
Why Asudes Platform?
Fast
Accurate
Consistent
Automated
Standardized
Our Publications
Flow cytometric evaluation of the neutrophil compartment in COVID-19 at hospital presentation. COVID-19 severity is…
Optimal Transformation for flow cytometry data (Otflow) uses various statistical methods to optimally choose the parameter of the transformation…
In this study, it is the first time to introduce a novel method ECLIPSE (Elimination of Cell Lying in Patterns Similar to Endogeneity) to identify…
Flow cytometric evaluation of the neutrophil compartment in COVID-19 at hospital presentation. COVID-19 severity is…
Optimal Transformation for flow cytometry data (Otflow) uses various statistical methods to optimally choose the parameter of the transformation…
In this study, it is the first time to introduce a novel method ECLIPSE (Elimination of Cell Lying in Patterns Similar to Endogeneity) to identify…
