Background Common data models (CDMs) are essential tools for data harmonization, which
can lead to significant improvements in the health domain. CDMs unite data from disparate …

Although randomized controlled trials remain the scientific ideal for determining the efficacy
and safety of new treatments, they are sometimes insufficient to address the evidentiary …

Objective Best-practice data models harmonize semantics and data structure of medical
variables in clinical or epidemiological studies. While there exist several published data …

Although routine health care and clinical trials usually require the documentation of similar
information, data collection is performed independently from each other, resulting in …

Background: For cancer domains such as acute myeloid leukemia (AML), a large set of data
elements is obtained from different institutions with heterogeneous data definitions within …

Background: Effective surveillance of COVID-19 highlights the importance of rapid, valid,
and standardized information to crisis monitoring and prompts clinical interventions. Minimal …

To address current key problems of medical documentation: lack of transparency,
overwhelming amount of medical contents to be documented and missing interoperability …

Annotation with semantic codes helps to overcome interoperability issues for electronic
documentation in medicine. However, the manual annotation process is laborious and …

Background: Electronic collection and high quality analysis of medical data is expected to
have a big potential to improve patient care and medical research. However, the integration …

Rapid extraction and visualization of cell-specific gene expression is important for automatic
celltype annotation, eg in single cell analysis. There is an emerging field in which tools such …