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The investigator network

Protocol Feedback Loop

Eligibility friction, quantified

See how many real patients your draft criteria exclude — before you launch.

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What are clinical trials?The basics, in plain languageIs a trial right for me?Questions to ask, what to expectPhases, explainedWhat Phase 1, 2, and 3 actually meanGlossaryEvery term, translated

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From the Learn center

What is a clinical trial — really?A clinical trial is a regulated study of a treatment in volunteers, sequenced through Phase I to IV. Participants receive the investigational treatment plus routine care, on a schedule defined by the protocol. Participation is always voluntary; withdrawal at any time doesn’t affect your routine care.Read the guide
Every guide is written in plain language — no jargon, no pressure.Visit the Learn center →

For investigators

Your trials, safety, and compliance — one workspace.

Oversight across your studies and sites without the binder shuffle: screening decisions, safety capture, and the audit trail, on one substrate.

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Investigator workspace

Oversight without the binder shuffle

The investigator workspace puts your responsibilities in one place: the studies you oversee, the screening decisions your team is making, and the documentation behind each of them. What your coordinators do in the screening queue is the same record you review — one substrate, no reconciliation.

  • Your studies, one viewEvery trial you oversee, with its screening state visible.
  • Decisions with contextCriteria mapping and passport context behind each screening call.

Safety & monitoring

CTCAE-graded, audit-ready

Adverse-event capture is structured from the start: CTCAE-graded events, attribution, and follow-up state, recorded against the participant and the protocol. Every entry lands in the same tamper-evident audit trail the rest of the platform writes to — built for the inspection you'll eventually face, not retrofitted for it.

Transparency

Know exactly what the AI does — and doesn't

Everything the platform's agents do is documented, labeled, and auditable: what each agent is for, what it's allowed to do, and how its reasoning is recorded. If you're putting your name on a study, you deserve to know precisely where AI touches it.

How our AI works

Want to see it on your own protocol? We'll walk you through it — humans included.

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AI-generated content on MyTrial is labeled and clickable for full provenance — agent identity, model, prompt version, confidence, tool calls, and event chain. AB 489 disclosure is a non-negotiable audit trail, not a footer pill. Read more.

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