This article introduces ParliamentLab.eu, an interactive application paired with a structured dataset, designed to support the exploration of voting behavior in the European Parliament (EP) from 2004 to 2022. ParliamentLab integrates publicly accessible datasets from VoteWatch.eu and Parltrack.eu, containing roll-call votes, biographical details, and attendance records into one intuitive interface. The application enables users to interactively filter data, visualize voting patterns, and perform hypothesis-driven exploration without requiring programming expertise. The user-adapted data can be downloaded as well. In its current form, ParliamentLab includes advanced techniques such as clustering and dimensionality reduction, modestly featuring a clustering process to show how underlying data structures can be identified. This feature supports interactive data exploration while keeping the focus on low-barrier accessibility. ParliamentLab provides researchers, educators, journalists, and the public with a transparent, reproducible, and user-friendly tool for engaging with legislative behavior in the EP.

In recent years, three-dimensional imaging has provided new opportunities for visualizing congenital cardiac malformations. We present the initial clinical experience using a recently implemented system, which employs some of new interactive, real-time, techniques. We show how three-dimensional rendering based on magnetic resonance imaging can provide detailed spatial information on both intrinsic and extrinsic cardiac relations, and hence how a virtual examination can potentially provide new means to a better understanding of complex congenital cardiac malformations.