Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay
Abstract Objectives Cryptococcosis remains a severe global health concern, underscoring the urgent need for rapid and reliable diagnostic solutions. Point-of-care tests (POCTs), such as the cryptococcal antigen semi-quantitative (CrAgSQ) lateral flow assay (LFA), offer promise in addressing this cha...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-08-01
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| Series: | IMA Fungus |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43008-024-00158-5 |
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