Cohort Context: Real-World Overlays for Confidence

Add small, trustworthy cohort snippets to ground your in-silico results — without slowing decisions (RUO).

Make results easier to trust by showing what similar cases look like in real data — prevalence and simple metrics — right next to the model outputs.

+0.05–0.12
Confidence Lift
When cohort context aligns with model outputs
Significant improvement in decision confidence
~22%
Tier Upgrades
Consider→Supported promotions in aligned cases
More actionable results with real-world backing
50+ → 5–12
Trial Shortlist
Compression when combined with WIWFM and evidence
Faster, more focused clinical trial selection

Key Capabilities

Study Selection

Query cBio/pyBioPortal for available studies with filtering

Technical:

Query cBio/pyBioPortal for available studies; allow filtering by disease/genes.

Scientific:

Ensures overlays reflect a relevant cohort.

Business:

Pick the right cohort quickly for maximum relevance.

Features:
Study database integration
Disease and gene filtering
Sample size information
Study metadata display

Extract & Benchmark

Lightweight metrics and coverage analysis with artifacts

Technical:

API returns metrics (AUPRC/AUROC), coverage by gene, and artifact links.

Scientific:

Provides a small, standardized baseline for context (RUO).

Business:

Teams see the same metrics and artifacts for consistency.

Features:
Automated extraction pipeline
Standardized benchmarking
Coverage analysis by gene
Artifact generation and storage

Overlay Mapping

Map overlay fields into Pathway/Therapy views with provenance

Technical:

Map overlay fields (prevalence, metrics) into Pathway/Therapy views with provenance.

Scientific:

Integrates real-world context into the biology/therapy story.

Business:

Gentle lift when cohort context aligns with predictions.

Features:
Contextual overlay display
Prevalence and metrics integration
Provenance tracking
Seamless UI integration

Artifacts & Export

Expose artifact links and overlay mapping for reuse

Technical:

Expose artifact links (CSV/JSON) and the overlay mapping.

Scientific:

Makes overlays easy to verify and reuse.

Business:

Faster documentation and analysis with reusable artifacts.

Features:
Multiple export formats
Artifact versioning
Reusable mapping templates
Documentation automation

Sample Cohort Context

TCGA-OV PanCan

Description:

The Cancer Genome Atlas Ovarian Cancer Pan-Cancer Atlas

Sample Size:600 patients
Source:cBioPortal
Disease:Ovarian Cancer
Key Genes:
BRCA1BRCA2TP53KRASPIK3CA

TCGA-OV PanCan - Cohort Snippet

BRAF
Gene of Interest
42
Cases
7.0%
Prevalence
AUROC:0.5
AUPRC:0.5

Generated Artifacts

metrics.json

JSON

Standardized performance metrics and coverage data

/artifacts/tcga_ov/metrics.json

cohort.csv

CSV

Cohort data with gene variants and clinical annotations

/artifacts/tcga_ov/cohort.csv

overlay_mapping.json

JSON

Mapping configuration for UI integration

/artifacts/tcga_ov/overlay_mapping.json

Value Propositions

For Tumor Boards

  • A small study snippet (n, prevalence, baseline metrics) next to your result.
  • Confidence lifts when cohort context aligns.
  • Exportable one-pager with sources and provenance (RUO).

For Researchers

  • Pick a study, extract/benchmark, and overlay in minutes.
  • Artifacts (CSV/JSON) for reuse; stable caching and retries.
  • Consistent mapping from study fields to our chips/pathways.

Observed Outcomes

Faster consensus when a cohort snippet reinforces the biology story
Reproducible overlays with study ID, run ID, and artifacts
Clearer patient communication: 'how often' and 'baseline performance' at a glance

Ready to Add Cohort Context?

Enhance your in-silico results with real-world cohort overlays and see how context can boost confidence and accelerate decisions.