aba-ai-biomedical-agent

name	aba - AI Biomedical Agent
description	Procedure for using AI to analyze biomedical research, evaluate studies, assess drug interactions, and interpret clinical data.
output	{"format":"prose"}

AI Biomedical Agent

Input: $ARGUMENTS

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Overview

Systematic procedure for analyzing biomedical questions using structured evidence evaluation. Searches literature, assesses study quality, synthesizes findings, and identifies limitations. Does NOT provide medical advice — produces structured analysis for informed decision-making.

Step 0: Scope and Safety Check

1. State the biomedical question precisely
2. Classify: basic science / clinical / pharmacological / epidemiological
3. Safety gate: If the question is "should I take/stop medication X?" — output is ANALYSIS ONLY, not recommendation. Flag explicitly.
4. Identify what kind of evidence would answer this (RCTs, meta-analyses, case studies, mechanistic)

Steps

Step 1: Define the Research Question

1. Convert to PICO format where applicable:
   • Population: Who/what is being studied?
   • Intervention: What treatment/exposure?
   • Comparison: Compared to what?
   • Outcome: What result matters?
2. If not clinical, define: Subject, Mechanism, Evidence type needed
3. Identify key terms and synonyms for search

Step 2: Search and Gather Evidence

1. Identify source hierarchy:
   • Systematic reviews / meta-analyses (highest)
   • Randomized controlled trials
   • Observational studies (cohort, case-control)
   • Case reports / expert opinion (lowest)
2. Search: key terms, MeSH terms, known databases
3. Note what you can and cannot access
4. Flag if evidence base is thin (<3 relevant studies)

Step 3: Assess Evidence Quality

For each piece of evidence:

1. Study design strength
2. Sample size and statistical power
3. Bias risk: selection, performance, detection, attrition, reporting
4. Conflict of interest (funding, author affiliations)
5. Replication status
6. Assign tier: A (strong) / B (moderate) / C (weak) / D (very weak)

Step 4: Synthesize Findings

1. What do highest-quality studies show?
2. Consensus or disagreement? If disagreement, what explains it?
3. Effect size (not just significance — how large?)
4. Confidence intervals
5. Dose-response relationship if applicable

Step 5: Assess Drug Interactions (if applicable)

1. Identify all substances mentioned
2. Check interaction mechanisms: CYP450, protein binding, pharmacodynamic
3. Severity: major / moderate / minor / theoretical
4. Evidence basis for each interaction

Step 6: Identify Limitations and Gaps

1. What questions remain unanswered?
2. What populations are understudied?
3. Where is evidence weakest?
4. What would change the conclusion if discovered?

Step 7: Report

BIOMEDICAL ANALYSIS
Question: [PICO or structured question]
Evidence tier: [A/B/C/D overall]

Key findings:
1. [finding] — Evidence: [tier] — Source: [type]
2. [finding] — Evidence: [tier] — Source: [type]

Synthesis: [what the evidence overall suggests]
Confidence: [high/moderate/low] — [reasoning]

Limitations:
- [limitation 1]
- [limitation 2]

NOT medical advice. Analysis only.

When to Use

• Evaluating biomedical research claims
• Understanding drug mechanisms or interactions
• Interpreting clinical study results
• Assessing evidence for health interventions

Verification

• Question stated in structured format
• Evidence sources identified with quality tiers
• Study quality assessed (not just cited)
• Effect sizes reported (not just significance)
• Limitations explicitly stated
• No medical advice given — analysis only