Evidence retrieval
PubMed search, semantic retrieval, and paper-level relevance scoring help identify the papers that match your study question.
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For every clinical study
SynapseR is a vertical agentic system for clinical research — PubMed retrieval, R-powered statistics, reference management, and versioned audit trails inside a gated study lifecycle.
Find collaborators, join multi-site studies, and collect data together across centres.
Coming soonFree during the beta. Built by a clinician for clinicians. We want your feedback — that's the whole point.
The engine underneath
Whichever pathway you start from, the same rigour runs underneath — SynapseR connects evidence retrieval, R-powered statistics, reference management, reporting frameworks, and versioned audit trails so each step builds on the last instead of living in separate tools.
PubMed search, semantic retrieval, and paper-level relevance scoring help identify the papers that match your study question.
Selected papers become a project library, so citations and key claims stay linked as the protocol, SAP, and manuscript evolve.
Sample-size and power calculations run through R scripts — not language-model estimation. The full R ecosystem is the toolbox.
Study documents are structured around the right framework for the design — CONSORT, STROBE, and more as support expands.
SAPs, protocols, and major study artifacts are versioned and traceable as the project changes.
Inside “Build the study”
Plan is live today. The rest is on the way.
Designing the study on paper.
Hypothesis → literature search → endpoints → R-powered power analysis → CONSORT/STROBE-bound methods → SAP → protocol draft.
Getting the study ready to run.
CRF auto-generated from your endpoints, participant information leaflet, consent form, randomisation plan where applicable.
Running the study.
Live data collection on the CRF you designed, integrated with SynapseCPT.
Turning collected data into a manuscript.
SAP-guided analysis, flow diagram where applicable, Table 1, results and discussion drafts, registry updates.
Today, SynapseR supports parallel-group RCTs and cross-sectional studies. Multi-arm, crossover, cluster, and observational cohort designs are on the roadmap — tell us what you'd use first.
Because your protocol has to defend itself.
You have the clinical question. SynapseR gives you the methodological scaffold: literature, endpoints, power, methods, SAP, and protocol draft.
Stop guessing your way through sample size, reporting frameworks, and protocol structure. Spend your time on the science.
Run small studies with a reproducible planning workflow, even without a full methodology team.
SynapseR is a co-pilot, not an autopilot. Every substantive decision needs a human to approve it before the workflow advances. It is not built for pharma CROs or fully-automated pipelines — and won't be.
“I'm an anaesthesiologist and clinical researcher in Dublin. I built SynapseR because I was tired of clinical AI tools that write confidently but ignore methodology. The beta is free while it's being tested with real clinician-researchers. Start a project, run a power analysis, search the literature, and tell me what breaks — that's how it gets better.
Brainstorm an idea or design a study you already have in mind — free during the beta. Sign up and email feedback directly to the founder.