The measured biosignals need to be coupled with artificial intelligence (AI) for real-time prediction. AI systems, such as machine learning, deep learning and convolutional neural networks have a crucial part to play in the large-scale screening, detection, monitoring and reduction of workload in mitigating COVID-19.

2019年11月17日 · 流感预测过程中，ai 的运用不仅是对于传统流感监测手段的革新，也是在实际应用过程中不断自我调整、优化，提升预测精度。我们在本次论文中提出的 saaim 作为国内首个实时的 ai 流感预测模型，在流感防控的理论与实际应用上均具有价值。

2021年9月16日 · With the COVID-19 pandemic exceeding 153 million cases worldwide, there is a need for a low-cost and contactless surveillance system to detect symptomatic individuals. The objective of this study was to develop FluNet, a novel, proof-of-concept, low-cost and contactless device for the detection of high-risk individuals.

As with many diseases, there are bio-clinical signals relating to the physical symptoms. The main objective of this study was to develop FluNet, a novel, proof-of-concept, low-cost and contactless device for the detection of high-risk individuals.

A revolutionary clinical decision support tool leveraging generative AI to provide on-demand evidence-based insights and recommendations to clinicians regarding long COVID and influenza, utilising its curated healthcare knowledge repository of health care data.

Accurate influenza forecast in areas with irregular seasonal influenza trends can be made by SAAIM with multi-source electronic data.

2022年12月23日 · We developed the first AI model that can accurately diagnose influenza from pharyngeal images, which has the potential to help physicians to make a timely diagnosis.

This project aimed to develop and Validate clinical features-based machine learning algorithms to predict influenza infection in influenza-like illness patients.

2025年3月20日 · The H5N1 strain of highly pathogenic avian influenza (HPAI) is present in wild birds worldwide and is causing outbreaks in U.S. domestic birds and dairy cattle. Many other species are also susceptible to this virus. APHIS is working with our Federal, State, and industry partners to combat outbreaks, support producers, and strengthen prevention.

2022年1月1日 · DeepFlu is a 6-layer DNN, consisting four fully connected hidden layers each with 100 nodes, one input layer to extract the gene expression information, and one output layer to predict the presence of symptomatic flu infection.