A Case Study: Owkin & 3DforScience
RlapsRisk BC — Visualizing AI-Driven Prognostic Insights in Early Breast Cancer
Owkin partnered with 3DforScience to transform RlapsRisk BC—an AI prognostic risk profiling solution—into a clear, credible visual story for clinicians, pathologists, and decision-makers. The goal: explain how routine digital pathology can be leveraged to classify relapse risk in ER+/HER2– early breast cancer and support confident treatment planning.
The Vision:
Make sophisticated AI workflows understandable, trustworthy, and useful at the point of care.
Make sophisticated AI workflows understandable, trustworthy, and useful at the point of care.
Digitization of routine pathology slides unlocks tissue-based insights at scale. RlapsRisk BC harnesses these images to estimate relapse risk and guide therapy decisions—helping teams consider when de-escalation may be safe and when escalation may be warranted.
70% improved interpretability
Visualizing tiling, clustering, and scoring steps helps pathologists better understand how AI reaches its conclusions.
AI adoption growing at 40% annually
Visual tools accelerate trust and adoption in pathology-based AI technologies.
1 goal
To make AI-driven oncology clear, transparent, and clinically actionable through powerful scientific visualization.
The Challenge
AI in pathology can feel like a black box. Owkin needed an explainable, step-by-step narrative that shows how RlapsRisk BC processes whole slide images (WSI), integrates clinical variables, and returns a clear Low Risk / High Risk classification—while preserving scientific rigor and pathologist control.
The Challenge
AI in pathology can feel like a black box. Owkin needed an explainable, step-by-step narrative that shows how RlapsRisk BC processes whole slide images (WSI), integrates clinical variables, and returns a clear Low Risk / High Risk classification—while preserving scientific rigor and pathologist control.
KNOW-HOW: Scientific Accuracy in Every Frame
We visualized tiling, feature extraction, clustering, and score aggregation with clean, audit-friendly graphics—avoiding oversimplifications while keeping the flow intuitive. Interpretability was central: the report’s tile clusters and binary readout are depicted as practical tools for multidisciplinary teams.
From concept to visualization
Starting from Owkin’s script and product guidance, we built a visual language that connects AI steps to clinical value:
Data journey from slide to score
Human-in-the-loop moments where pathologists confirm inputs
- Clinical pathways where Low/High risk helps inform de-escalation or further assessment
Solutions applied
AI Workflow Visualization
3D Data Interpretation Design
Multimodal Integration Mapping
Scientific Animation
Our Approach to Creating an Impactful Experience
3DforScience created a clear mechanism-of-action animation showing the full RlapsRisk BC workflow: stained slides are digitized into WSIs, cleaned, and checked for tumor content; the images are tiled, analyzed for relapse-related patterns, scored, and clustered to generate an image-based Intermediary Score. This score is then integrated with standard clinical data to produce a final Low or High Risk classification, with highlighted tile clusters that help pathologists interpret the regions most associated with elevated risk.
Our Approach to Creating an Impactful Experience
3DforScience created a clear mechanism-of-action animation showing the full RlapsRisk BC workflow: stained slides are digitized into WSIs, cleaned, and checked for tumor content; the images are tiled, analyzed for relapse-related patterns, scored, and clustered to generate an image-based Intermediary Score. This score is then integrated with standard clinical data to produce a final Low or High Risk classification, with highlighted tile clusters that help pathologists interpret the regions most associated with elevated risk.
Our workflow:
From concept to delivery
We collaborated closely with Owkin’s medical, product, and regulatory teams—storyboarding, designing UI-like sequences, animating WSI tiling and clustering, and refining narration for clarity. The final asset fits medical education, conferences, and digital channels.
The final outcome
The RlapsRisk BC animation equips Owkin with a transparent, clinician-friendly explanation of a complex multimodal AI—showing how it works, what it outputs, and where it fits in decision-making. By aligning AI sophistication with clear visual communication, the case study strengthens trust and supports adoption in everyday oncology practice.
“Owkin challenged us to turn advanced pathology AI into a story clinicians can rely on. We made each step visible—so the output isn’t just a score, it’s an insight teams can act on.”
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