数据与复现临床医学与医药FreedomIntelligence/OpenClaw-Medical-Skills数据与复现

hemoglobinopathy-analysis-agent

维护者 FreedomIntelligence · 最近更新 2026年4月1日

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

OpenClawNanoClaw分析处理复现实验hemoglobinopathy-analysis-agent🧠 bioos extended suitehematology & blood disordershemoglobin

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

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

技能摘要

2 min

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

原始文档

HPLC Interpretation: AI pattern recognition for hemoglobin variant identification from HPLC chromatograms.
Thalassemia Classification: Distinguish α-thalassemia (silent carrier to Hb Bart's) and β-thalassemia (minor to major).
Sickle Cell Phenotyping: Integrate HbS%, HbF%, α-globin status for phenotype prediction.
Variant Identification: Database matching for >1,500 known hemoglobin variants.
Molecular Correlation: Link genetic variants (HBB, HBA1/2) to protein phenotypes.
Management Guidance: Treatment recommendations based on disease severity.

Condition	HbA	HbA2	HbF	Variants	RBC Indices
Normal adult	96-98%	2-3%	<1%	-	Normal
β-thal trait	92-95%	3.5-7%	1-3%	-	Microcytic
β-thal major	0-10%	Variable	90-95%	-	Severe anemia
α-thal trait	97-98%	2-3%	<1%	-	Microcytic
HbH disease	70-90%	1-2%	<1%	HbH 5-30%	Moderate anemia
Sickle trait	55-60%	2-3%	<1%	HbS 38-45%	Normal
Sickle cell	0%	2-3%	2-20%	HbS 80-95%	Sickle cells

Input: HPLC chromatogram, CBC with indices, peripheral smear findings, molecular data (if available).
Pattern Recognition: AI analysis of HPLC retention times and peak areas.
Variant Matching: Compare against hemoglobin variant database.
RBC Correlation: Integrate MCV, MCH, RDW, reticulocyte count.
Phenotype Classification: Assign clinical phenotype category.
Management: Generate treatment and monitoring recommendations.
Output: Diagnosis, variant identification, clinical classification, management plan.