Robots and artificial intelligences are only as good as we train them to be. So why not train them to adept to us, their human counterparts? That’s the vision of affective computing: Incorporating emotional intelligence into AI systems, robots...

We have contributed 2 article’s to this year’s Trillium Pathology issue. Here are the abstracts, with links to the full articles: V. Bruns, Programming-free Image-Analysis Workflows for IHC, IF and Spatial Proteomics: More than just Cell...

This App Note describes the MIKAIA Plugin API. It can be used by bioinformaticians to plug in their own AI script, e.g. written in Python or any other language, into MIKAIA and this way put their AI into the hands of a pathologist. Motivation:...

Cancer is a major cause of mortality worldwide, and the evaluation of predictive and prognostic markers is crucial in its pathologic assessment. Immunohistochemistry (IHC) is commonly used to evaluate biomarker status and guide the use of specific...

MIKAIA is specifically designed for researchers in academia, CROs, biotech, pharma. One of the challenges is that researchers by design do unique things. For this reason, MIKAIA Apps do not represent individual side-by-side analyses that stand in...