Affective computing, also known as Emotion AI, is an area of artificial intelligence that focuses on developing systems and technologies capable of recognizing, interpreting, and responding to human emotions (read more...
Facial expressions often convey more than words. They are a manifestation of our emotions, both conscious and unconscious, and can either complement or contradict what we are saying verbally. In situations where...
Digital pathology and artificial intelligence (AI) go hand in hand to revolutionize medical diagnostics. However, pathology AI models must be able to cope with a very large variety of histological images if they are to...
When the human brain is processing information, it takes millions of neurons and an intricate cognitive network to decode whatever it is that we are simultaneously hearing, seeing, feeling. In every day social...
MICAIA® University Application Note: Interactively training an AI with the AI Authoring App — without needing any programming and from just a few example annotations By design, researchers often have unique...
You want to develop your own digital pathology AI? The following MICAIA® University application note explains how to create an AI training dataset using the MICAIA® Tile Export App. The first step is to create a dataset...
Physicians expect biopsy or tumor resection results from pathology daily to make diagnoses and find appropriate therapies for the patients. A 2016 interview-based study of internal medicine specialists addresses supply...
Two of our closest clinical partners, Prof. Dr. Arndt Hartmann, head of the Institute of Phathology, and Adjunct Professor Dr. Carol Geppert, head of cytology and digital pathology at the University Hospital Erlangen...
Cell sorting is an established and powerful technology in molecular biological research to distinguish and isolate specific cell types from a heterogeneous cell population. Isolation of the specific cell populations...