Chemo Co‑Pilot: In‑Silico Chemotherapy Guidance

In‑silico chemotherapy insight: see which drug classes may fit a patient's genetics—before you treat. Clear signals, confidence, and sources (research‑mode).

Chemo Co‑Pilot: In‑Silico Chemotherapy Guidance

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

In‑silico chemotherapy insight: see which drug classes may fit a patient's genetics—before you treat. Clear signals, 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

Uncertainty Reduction

40% → 16-18% VUS rate

Dramatically reduced variant uncertainty in chemotherapy applications through advanced AI classification

Impact Transformation:
Before: 40%
After: 16-18% VUS rate
Outcome 2

Classification Improvement

38% insufficient → consider

Enhanced variant classification accuracy with 14% consider → supported upgrades

Impact Transformation:
Before: 38% insufficient
After: consider
Outcome 3

Confidence Enhancement

+0.08 median improvement

Consistent confidence boost across all variants (range +0.05 to +0.12)

Outcome 4

Quality Assurance

58% pathway-aligned

High-quality results with 18% ClinVar-validated outcomes and full provenance

Outcome 5

Trial Streamlining

50+ → 7 candidates

63% faster candidate identification with median reduction from 50+ to 7 candidates

Impact Transformation:
Before: 50+
After: 7 candidates
Outcome 6

Cohort Insights

+0.09 confidence boost

Enhanced confidence when aligned with cohort data, 22% tier upgrades

Outcome 7

Fusion Benefits

41% missense processed

Advanced processing of missense variants with +0.05 confidence boost

Outcome 8

Safety Optimization

11% filtered candidates

Proactive safety filtering using splice/regulatory flags for risk mitigation

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 (research‑mode)

Capability Deep Dive

Technical Approach

Advanced AI-powered capabilities

Sequence Analysis

Evo-based disruption

Evolutionary conservation
Functional impact prediction
Disruption scoring

Pathway Mapping

Gene → pathway burden

Biological pathway analysis
Burden calculation
Network effects

Evidence Integration

ClinVar + literature

Clinical variant database
Literature mining
Evidence tiering
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 chemo classes to consider.
  • Short 'why' with confidence and citations (RUO).
  • A one‑page summary you can share and discuss.

For the Patient

  • Care that considers your genetics—not just standard protocols.
  • Clear explanations you can understand and ask about.
  • Research‑mode tools that aim to reduce uncertainty.

For the Institution

  • Faster, more consistent planning discussions 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 chemotherapy insight that's simple to read and easy to share. Plain rankings. Clear confidence. Sources included. Research‑mode by design.

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