Accurate diagnosis of hemoglobinopathies with machine learning based on high‐throughput proteomics
Abstract Hemoglobinopathies, such as sickle cell disease and thalassemias, impose a substantial global burden, particularly in endemic regions. Current diagnostic methods, such as high‐performance liquid chromatography (HPLC), capillary electrophoresis, and genetic testing, can be time‐consuming, ex...
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| Principais autores: | , , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Wiley
2025-11-01
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| Serier: | HemaSphere |
| Online adgang: | https://doi.org/10.1002/hem3.70227 |
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