Translational research is most useful when the scientific question, experimental method, and development decision are connected from the beginning. Our approach makes that connection explicit at every step: Define → Review → Design → Measure → Interpret.
Biological insight Decision-ready evidence
The Path
Explore the five steps.
Select a step to see its scientific input, its expected output, and what it decides. The full detail for each step follows below.
Define — the decision comes first
Identify the biological question, development context, and evidence required. Every later step is judged against the decision defined here.
- Scientific input
- The development decision at stake and its context.
- Expected output
- A defined research question with explicit success criteria.
- Decision implications
- Every later step is judged against this decision.
Review — assess what already exists
Review available findings, study limitations, and unresolved assumptions — before any new experiment is commissioned.
- Scientific input
- Published findings, study documentation, and authorized data.
- Expected output
- An evidence map with limitations and unresolved questions.
- Decision implications
- Shows whether new experiments are needed at all — and where.
Design — match method to question
Select appropriate assays, models, imaging methods, and analysis plans, and check feasibility before work begins.
- Scientific input
- The evidence map and the gaps that matter most.
- Expected output
- A study design with predefined criteria and responsibilities.
- Decision implications
- Prevents well-executed studies that answer the wrong question.
Measure — generate and analyze
Coordinate research execution and evaluate data against predefined criteria, with methods and deviations documented.
- Scientific input
- The approved study design and its quality requirements.
- Expected output
- Documented results with methods, quality checks, and deviations recorded.
- Decision implications
- Results are only used to the extent their methods support.
Interpret — inform the next step
Deliver structured findings, limitations, and recommendations for subsequent research — a documented basis for proceeding, redesigning, or stopping.
- Scientific input
- All findings, their limitations, and the original decision criteria.
- Expected output
- Structured findings with recommendations for subsequent research.
- Decision implications
- A documented basis for proceeding, redesigning, or stopping.
The five steps advance on their own — pause anytime, or choose a step above.
Five steps, each with a defined input and output.
01 Define — the decision comes first
- Scientific input
- The development decision at stake and its context.
- Research activities
- Frame the biological question and the evidence it requires.
- Expected output
- A defined research question with explicit success criteria.
- Critical uncertainty
- Whether the question, as framed, can actually be answered.
- Decision implications
- Every later step is judged against this decision.
02 Review — assess what already exists
- Scientific input
- Published findings, study documentation, and authorized data.
- Research activities
- Map evidence, compare methods, and identify assumptions and conflicts.
- Expected output
- An evidence map with limitations and unresolved questions.
- Critical uncertainty
- Findings that appear consistent but rest on incompatible methods.
- Decision implications
- Shows whether new experiments are needed at all — and where.
03 Design — match method to question
- Scientific input
- The evidence map and the gaps that matter most.
- Research activities
- Select assays, models, imaging methods, and analysis plans; check feasibility.
- Expected output
- A study design with predefined criteria and responsibilities.
- Critical uncertainty
- Whether the chosen model or assay can support the intended inference.
- Decision implications
- Prevents well-executed studies that answer the wrong question.
04 Measure — generate and analyze
- Scientific input
- The approved study design and its quality requirements.
- Research activities
- Coordinate execution; evaluate data against the predefined criteria.
- Expected output
- Documented results with methods, quality checks, and deviations recorded.
- Critical uncertainty
- Measurement validity — whether the signal represents the intended biology.
- Decision implications
- Results are only used to the extent their methods support.
05 Interpret — inform the next step
- Scientific input
- All findings, their limitations, and the original decision criteria.
- Research activities
- Scientific review; distinguish observation, interpretation, and assumption.
- Expected output
- Structured findings with recommendations for subsequent research.
- Critical uncertainty
- Residual uncertainty that the next step must carry explicitly.
- Decision implications
- A documented basis for proceeding, redesigning, or stopping.
What this is not: This is a human-led scientific workflow, supported where useful by AI-enabled tools under development. It is not described as an automated or proprietary Design–Make–Test–Learn engine, and model-generated text is never treated as experimentally validated evidence.