Missing data is a persistent problem in biomedical research. Data-imputation techniques have evolved from single-modality approaches to multimodal strategies, which impute one modality on the basis of ...

Healthcare data are inherently multimodal, including electronic health records (EHR), medical images, and multi-omics data. Combining these multimodal data sources contributes to a better ...

This course provides an introduction to causal inference and causal representation learning, offering both theoretical foundations and hands-on training. You will learn how to apply these ...

Neuroimaging provides a means for identifying and measuring the structure and function of the brain. Different non-invasive imaging measurements reveal different characteristics of the nervous system, ...

Data is the holy grail of AI. From nimble startups to global conglomerates, organizations everywhere are pouring billions of dollars to mobilize datasets for highly performant AI applications and ...