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Precision Autoimmune Intelligence Agent

live   Domain: clinical   Type: agent

RAG decision support for autoimmune disease.

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

Precision Autoimmune 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 Precision Autoimmune Intelligence Agent reasons about autoimmune disease: it interprets autoantibodies, analyzes HLA type, and reasons about flare risk — grounding each answer in the literature as decision support for a clinician.

Why it matters

Autoimmune conditions are heterogeneous and relapsing: the same diagnosis behaves differently across patients, autoantibody patterns are subtle, and HLA associations carry real risk information. Bringing those threads together into a grounded, cited picture helps a clinician see the whole patient.

For a patient: their shifting autoimmune picture read as a whole, with a clearer sense of flare risk and drug safety.

How it works

How the Autoimmune agent reasons — autoantibodies and HLA to flare-risk reasoning

Autoantibody interpretation, HLA analysis, and flare reasoning. Decision support. Illustrative.

  1. Ingest — autoantibody results and HLA typing, with patient context.
  2. Interpret autoantibodies — pattern interpretation grounded in curated evidence.
  3. Analyze HLA — HLA associations relevant to the condition and to drug risk.
  4. Reason about flares — flare-risk reasoning, returned as a cited answer that refuses to fabricate.

What goes in, what comes out

  • In: a query and the patient context (autoantibodies, HLA).
  • Out: a grounded, cited autoimmune answer — interpretation and flare reasoning.

Where it fits

Where the Autoimmune agent sits — joining HLA and pharmacogenomics

It joins HLA analysis with pharmacogenomics; anchor of the autoimmune program. Illustrative.

It draws on HLA analysis and hands off to the Pharmacogenomics agent for drug safety, anchoring the autoimmune program.

Honest limits

  • Decision support, never diagnosis. It supports a qualified clinician; it does not diagnose.
  • 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.
  • Flare reasoning is supportive. Flare-risk reasoning is an aid to clinical judgment, not a prediction to act on unaccompanied.

Interface

  • Endpoint: localhost:8531 · 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 autoantibody_panel

Tags: agent · autoimmune

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.