Artificial Intelligence: Its future in the health sector and its role for medical education.

The - possibly - imminent AI revolution will, to a great extent, affect the education and training for all knowledge-working professions, and therefore must be considered an important aspect also of CME. This paper reviews some of the misconceptions about AI technology, then turns to point out possible applications of AI in the medical domain and then addresses the question what this will mean for (continuing) medical education.

Dynamic pathway modeling of sphingolipid metabolism.

We report our research results on computational metabolome study. The goal of this research is to extend the integrated experimental modeling methodologies in sphingolipid metabolism study to other complex biological process studies such as signal transduction or gene regulation. Another feature of This work is that the 3-D information representation enables the user orchestrate the simulated pathways in real time.