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However, conventional ELISA protocols rely on laboratory equipment, trained personnel, and established infrastructure, restricting their use to complex clinical environments, making them impractical for at\u2010home diagnostics. Here, VISTA, a disposable, electricity\u2010free microfluidic chip designed for immunoassay\u2010based point\u2010of\u2010care diagnostic applications is reported. VISTA enables a bubbling immunoassay\u2010based assay to be completed, sample\u2010to\u2010result, in under 45 min in non\u2010laboratory settings. Using pressure\u2010driven microfluidics, the device manipulates antibody\u2010conjugated magnetic beads and platinum nanoparticles to execute a streamlined semi\u2010automated immunoassay process with minimal user input. VISTA consolidates all steps, including sample processing and reagent addition, into a single, low\u2010cost cartridge with user\u2010friendly features to ensure proper operation. It pairs with an AI\u2010enabled smartphone application, utilizing an adversarial neural network, that automatically interprets assay results from a smartphone image, eliminating the need for specialized expertise. The device's capability is demonstrated through the bubbling immunoassay to detect SARS\u2010CoV\u20102 N antigen and HCV core antigen directly from 52 patient samples. VISTA's sensitivity is on par with lab\u2010based ELISAs and surpasses conventional point\u2010of\u2010care technologies, detecting viral loads less than 10\u2074 copies\u00a0mL<jats:sup>\u22121<\/jats:sup>. This solution provides sensitive and cost\u2010effective diagnostics, ideal for use in low\u2010resource settings.<\/jats:p>","DOI":"10.1002\/admt.202500025","type":"journal-article","created":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T10:03:32Z","timestamp":1747649012000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Automated, Deep Learning\u2010Enabled Immunoassay Microfluidic Cartridge for Viral Pathogen Detection"],"prefix":"10.1002","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7206-6581","authenticated-orcid":false,"given":"Joseph Michael","family":"Hardie","sequence":"first","affiliation":[{"name":"Division of Engineering in Medicine Department of Medicine Brigham and Women's Hospital Harvard Medical School  Boston MA 02115 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