Flow diagram of the validation process for the combined Nanobody ELISA.

<p>Human serum samples were collected at Orán Hospital, Salta (2016–2019) and classified by a reference diagnostic test (positive, n=94; negative, n=74). Samples were analyzed using the cNb-ELISA, and results were subjected to statistical validation. Diagnostic validation included ROC curve an...

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Bibliographic Details
Main Author:	María Florencia Pavan (22538063) (author)
Other Authors:	Cristian Miguel Malnero (22538066) (author), María Emilia Mora Alvarado (22538069) (author), María Camila Carzoglio (22538072) (author), Yesica Paredes Rojas (22538075) (author), Agostina Bruno (9708143) (author), Laura Perez Vidakovics (14372943) (author), Leo Hanke (14245409) (author), Alejandro Castello (11822201) (author), Gerald McInerney (167172) (author), Cybele Carina García (22538078) (author), Viviana Parreño (409570) (author), Lorena Itatí Ibañez (22538081) (author)
Published:	2025
Subjects:	Medicine Genetics Biotechnology Cancer Infectious Diseases Virology Computational Biology system exhibits limitations successfully identified cases sera pool dilutions public health system cases increasing sharply borne flavivirus responsible target ns1 across reported ns1 concentrations precision diagnostic tools 3 &# 8211 four denv serotypes denv genome encodes structural protein 1 6 &# 8211 early infection detection ns1 ), diagnostic sensitivity detecting ns1 3 %). denv ), xlink "> urgent need symptom onset sporadic disease results underscore regions facing recurrent epidemic recent decades limited access key biomarker human samples exposing gaps engineered nanobodies detection antibodies detection aligning detected signals affecting 18 accurate diagnosis 9 ), 6 %) 23 provinces
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Flow diagram of the validation process for the combined Nanobody ELISA.

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