![A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration | SpringerLink A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration | SpringerLink](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs13755-022-00183-x/MediaObjects/13755_2022_183_Fig2_HTML.png)
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration | SpringerLink
![SPU: Using structured data entry systems in the electronic medical record to collect clinical data for quality and research: Can we efficiently serve multiple needs for complex patients? SPU: Using structured data entry systems in the electronic medical record to collect clinical data for quality and research: Can we efficiently serve multiple needs for complex patients?](https://spuonline.org/abstracts/2018/images/63.jpg)
SPU: Using structured data entry systems in the electronic medical record to collect clinical data for quality and research: Can we efficiently serve multiple needs for complex patients?
![Learn About Job Posting Schema Markup | Google Search Central | Documentation | Google for Developers Learn About Job Posting Schema Markup | Google Search Central | Documentation | Google for Developers](https://developers.google.com/static/search/docs/images/jobs-search-ui.png)
Learn About Job Posting Schema Markup | Google Search Central | Documentation | Google for Developers
![MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification | Nature Communications MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-021-23774-w/MediaObjects/41467_2021_23774_Fig1_HTML.png)