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Clinical Trial Intelligence Agent

live   Domain: clinical   Type: agent

RAG decision support for trial matching.

A narrated, captioned explainer. Decision support for a qualified clinician.

Clinical Trial Intelligence Agent — what it takes in, what it computes, what it returns

Illustrative. Decision support for a qualified clinician — never autonomous diagnosis or prescribing.

In plain terms

The Clinical Trial Intelligence Agent matches a patient to the right clinical trial — and helps design better trials. It reasons over a patient's profile and biomarkers to surface eligible trials, grounded and cited, as decision support for the care team.

Why it matters

The right trial can be the best available option, but eligibility criteria are dense and trials are scattered. For a rare-disease or pediatric-oncology patient especially, a grounded matching layer can turn a needle-in-a-haystack search into a short, explained shortlist.

For a patient: a hard-to-find but potentially best option — the right trial — surfaced as a short, explained shortlist.

How it works

How the Clinical Trial agent reasons — patient profile to matched, ranked trials

Patient profile and biomarkers to a ranked, cited trial shortlist. Decision support. Illustrative.

  1. Ingest — the patient profile and biomarkers.
  2. Match — candidate trials retrieved and checked against eligibility.
  3. Optimize — trial optimization, adaptive-design and biomarker-strategy reasoning.
  4. Ground the answer — a ranked, cited trial shortlist that refuses to fabricate where evidence is thin.

What goes in, what comes out

  • In: a query and the patient context (profile, biomarkers).
  • Out: a grounded, cited set of ranked trial matches for a patient — or, for researchers, trial-design and biomarker-strategy guidance.

Where it fits

Where the Clinical Trial agent sits — the closing step for oncology and rare disease

It takes a patient or a discovery and finds the trial; the closing step of many workflows. Illustrative.

It is often the closing step: the Precision Oncology Engine and Rare Disease agent hand off to it to turn findings into trial options.

Honest limits

  • Decision support, never enrollment. It surfaces and explains options for the care team; it does not enroll or decide.
  • Grounded, and honest when it can't be. As a retrieval-augmented service it needs a populated vector database and an LLM API key at runtime, returning an honest degraded response (HTTP 503) rather than inventing content when they're absent.
  • Eligibility must be confirmed. Matches are a starting shortlist; formal eligibility is always confirmed with the trial.

Interface

  • Endpoint: localhost:8538 · Invoke path: /
  • Serving: native · GPU: no · Cost class: —

Inputs

Name Shape Semantic Notes
query scalar —
patient_context map patient_context

Outputs

Name Shape Semantic Notes
answer map trial_matches

Tags: agent · trials

Runtime dependency

This agent is a Retrieval-Augmented Generation service: at runtime it needs a populated vector database and an LLM API key. When those are absent it returns an honest degraded response (e.g. HTTP 503) and never fabricates clinical content.

↩ Back to the Intelligence Agents index · the Capability Maturity Matrix · the Capability Brief.

Note

Status and interface are generated from the capability registry (lib/hcls_common/capabilities.json) — the site cannot claim ahead of the code. All clinical output is decision support for a qualified clinician, never autonomous diagnosis.