The Laboratory for Bio-Micro Devices at Brigham and Women’s Hospital () develops drug releasing implantable intratumoral microdevices (IMD) [1]. Using MIKAIA®, they want to examine in a quantitative fashion how...
The collection of robust and reliable medical data is essential for informed decision-making throughout the entire healthcare process and for health and wellbeing applications. Our approach to developing medical sensing...
CODEX, now called PhenoCycler, by Akoya Biosciences, along with other sequential immunofluorescence technologies (e.g., Lunaphore (Comet), Miltenyi Biotech (MACSima), Leica Microsystems (Cell DIVE), or other vendors)...
Tomorrow’s healthcare is increasingly data-driven. Collecting robust and reliable medical data is essential for making informed decisions at every step of the medical care process. Artificial intelligence (AI) plays a...
Who would have thought that my sweaty palms could ever be relevant for a study … I am Anna, a working student at Fraunhofer IIS, and that’s what I’m thinking to myself as I’m sitting wired up on...
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...
We have contributed two 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...
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...
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...