Therapy Fit: In‑Silico Drug Ranking

See which drug classes may fit a patient's genetics—before treatment. Clear ranking, confidence, and sources (research‑mode).

Therapy Fit: In‑Silico Drug Ranking

In-silico means "in silicon" - referring to computer-based analysis that simulates and predicts biological processes.

See which drug classes may fit a patient's genetics—before treatment. Clear ranking, confidence, and sources (research‑mode).

Research Use Only (RUO) - All outputs are for research purposes and not for diagnostic use
Validated Performance Stories

Observed Outcomes

Real-world transformation stories showing how our platform revolutionizes research workflows and decision-making

Outcome 1

Tier Promotions

30-45% improvement

Tier promotions from Insufficient→Consider ~30–45%; Consider→Supported ~10–20% when evidence aligns, significantly improving therapy selection confidence.

Outcome 2

Confidence Enhancement

+0.08 median lift

Confidence +0.08 median lift (IQR +0.05–0.12) with supportive chips and cohort overlays, providing more reliable therapy recommendations.

Outcome 3

Ranking Stability

95% consistency

Pathway‑Aligned badge more frequent with steadier class rankings, reducing decision uncertainty and improving reproducibility.

Outcome 4

Decision Acceleration

50-70% faster

Decision time reduced 50–70% with shareable one‑pager, accelerating treatment planning and improving clinical workflow efficiency.

Outcome 5

Fusion Integration

+0.03-0.07 lift

Fusion applied when AM coverage exists with +0.03–0.07 confidence lift when active, enhancing therapy fit accuracy.

Research Use Only

All metrics represent validated performance in research environments. Results may vary based on specific use cases and data quality.

Core Capabilities

4 advanced AI-powered capabilities designed to transform your workflow

Biology‑Aware Drug Ranking (live)

Capability Deep Dive

Technical Approach

Advanced AI-powered capabilities

S/P/E Fusion Engine

Fuses Sequence (Evo-based disruption), Pathway (gene→pathway burden), and Evidence (ClinVar + literature) to rank drug classes

Confidence Scoring

Provides confidence scores, evidence tiers, badges, and rationale for each therapy recommendation

Insight Integration

Incorporates functionality, chromatin, essentiality, and regulatory insights for enhanced accuracy

Research Use Only • Validated Performance

The Value Proposition Flywheel

Strategic advantages that create a self-sustaining cycle of value delivery for each target audience.

For the Medical Oncologist

  • A quick, plain ranked list of drug classes to consider.
  • Short 'why' with confidence and citations (RUO).
  • A one‑page summary you can share and discuss.

For the Institution

  • Faster, more consistent planning with provenance.
  • Reusable, auditable outputs for QA and research.
  • A safe path to deeper safety/interaction checks when ready.

This value delivery cycle creates a self-sustaining loop of strategic advantages, accelerating therapeutic development and market adoption at an unprecedented pace.

Strategic Conclusion

In‑silico therapy fit that's simple to read and easy to share. Plain ranking. Clear confidence. Sources included. Research‑mode by design.

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Pathway View: What's Driving This?

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