AI For Health Lab (AI4Health Lab)
Dedicated to addressing the growing health challenges faced by human society through the applications of artificial intelligence technology.
We are based at Tsinghua University, Beijing, China. We welcome everyone to learn more about us, contact us, and join us in leveraging AI to empower health!
Real-world Big Data and Public Health Large Models
Leveraging real-world multimodal healthcare data to train large models that can predict the risk of major chronic diseases for individuals over different time periods, as well as large models that provide personalized, professional health guidance and interventions for high-risk individuals.
Multi-omics Big Data Analysis
Employing deep learning to comprehensively process large-scale omics data, such as transcriptomics, proteomics, and metabolomics, to understand the effects of environmental exposure and other factors on health. We also aim to elucidate the biological mechanisms behind genomic variation, epigenetic landscapes, and changes at transcriptional and translational levels.
Big Data and Public Health Policy Evaluation
We conduct a systematic assessment of policy effectiveness by deeply analyzing public policies using real-world data. By employing statistical analysis, we evaluate the impact of relevant policies on public health, including disease risks and the associated economic burden.
Environmental Health Big Data Analysis
Leveraging multidisciplinary strengths, we integrate advanced tools and technologies such as satellite remote sensing, geographic information systems (GIS), neuroimaging, bioinformatics, and machine learning to construct high spatiotemporal resolution environmental datasets. We collect population-level data including EEG, near-infrared spectroscopy, and multi-omics data to conduct epidemiological analysis.