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HE

hemoglobinopathy-analysis-agent

Maintainer FreedomIntelligence · Last updated April 1, 2026

Hemoglobin variant analysis, sickle cell, and thalassemia genotype-phenotype assessment.

OpenClawNanoClawAnalysisReproductionhemoglobinopathy-analysis-agent🧠 bioos extended suitehematology & blood disordershemoglobin

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/hemoglobinopathy-analysis-agent

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • The Hemoglobinopathy Analysis Agent provides comprehensive AI-driven analysis of hemoglobin disorders. It integrates HPLC chromatograms, electrophoresis patterns, CBC parameters, and molecular genetics for diagnosis and management of sickle cell disease, thalassemias, and variant hemoglobins.
  • When interpreting HPLC hemoglobin chromatograms for variant identification.
  • To diagnose and classify thalassemia syndromes (α, β, δβ).
  • For comprehensive sickle cell disease phenotype assessment.
  • When correlating genotype with clinical phenotype severity.

Source Doc

Excerpt From SKILL.md

Core Capabilities

  1. HPLC Interpretation: AI pattern recognition for hemoglobin variant identification from HPLC chromatograms.

  2. Thalassemia Classification: Distinguish α-thalassemia (silent carrier to Hb Bart's) and β-thalassemia (minor to major).

  3. Sickle Cell Phenotyping: Integrate HbS%, HbF%, α-globin status for phenotype prediction.

  4. Variant Identification: Database matching for >1,500 known hemoglobin variants.

  5. Molecular Correlation: Link genetic variants (HBB, HBA1/2) to protein phenotypes.

  6. Management Guidance: Treatment recommendations based on disease severity.

Hemoglobin Pattern Analysis

ConditionHbAHbA2HbFVariantsRBC Indices
Normal adult96-98%2-3%<1%-Normal
β-thal trait92-95%3.5-7%1-3%-Microcytic
β-thal major0-10%Variable90-95%-Severe anemia
α-thal trait97-98%2-3%<1%-Microcytic
HbH disease70-90%1-2%<1%HbH 5-30%Moderate anemia
Sickle trait55-60%2-3%<1%HbS 38-45%Normal
Sickle cell0%2-3%2-20%HbS 80-95%Sickle cells

Workflow

  1. Input: HPLC chromatogram, CBC with indices, peripheral smear findings, molecular data (if available).

  2. Pattern Recognition: AI analysis of HPLC retention times and peak areas.

  3. Variant Matching: Compare against hemoglobin variant database.

  4. RBC Correlation: Integrate MCV, MCH, RDW, reticulocyte count.

  5. Phenotype Classification: Assign clinical phenotype category.

  6. Management: Generate treatment and monitoring recommendations.

  7. Output: Diagnosis, variant identification, clinical classification, management plan.

Use cases

  • When interpreting HPLC hemoglobin chromatograms for variant identification.
  • To diagnose and classify thalassemia syndromes (α, β, δβ).
  • For comprehensive sickle cell disease phenotype assessment.
  • When correlating genotype with clinical phenotype severity.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • Blood_Smear_Analysis - For morphology assessment
  • Variant_Interpretation - For molecular findings
  • Flow_Cytometry_AI - For F-cell quantification

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