In infectious disease diagnosis, results need to be communicated rapidly to healthcare professionals once testing has been completed so that care pathways can be implemented. This represents a particular challenge when testing in remote, low-resource rural communities, in which such diseases often create the largest burden. Here, we report a smartphone-based end-to-end platform for multiplexed DNA diagnosis of malaria. The approach uses a low-cost paper-based microfluidic diagnostic test, which is combined with deep learning algorithms for local decision support and blockchain technology for secure data connectivity and management. We validated the approach via field tests in rural Uganda, where it correctly identified more than 98% of tested cases. Our platform also provides secure geotagged diagnostic information, which creates the possibility of integrating infectious disease data within surveillance frameworks.

在传染病诊断中，一旦测试完成，需要将结果迅速传达给医疗保健专业人员，以便实施护理途径。在偏远、资源匮乏的农村社区进行检测时，这代表了一个特殊的挑战，在这些社区中，此类疾病通常会造成最大的负担。在这里，我们报告了一个基于智能手机的端到端疟疾多重 DNA 诊断平台。该方法使用低成本的纸质微流控诊断测试，结合用于本地决策支持的深度学习算法和用于安全数据连接和管理的区块链技术。我们通过在乌干达农村的现场测试验证了该方法，它正确识别了超过 98% 的测试案例。我们的平台还提供安全的地理标记诊断信息，