The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.

Background: Machine learning and artificial intelligence have shown promising results in many areas and are driven by the increasing amount of available data. However, these data are often distributed across different institutions and cannot be easily shared owing to strict privacy regulations. Federated learning (FL) allows the training of distributed machine learning models without sharing sensitive data.

Dealing with change in process choreographies: Design and implementation of propagation algorithms.

Enabling process changes constitutes a major challenge for any process-aware information system. This not only holds for processes running within a single enterprise, but also for collaborative scenarios involving distributed and autonomous partners. In particular, if one partner adapts its private process, the change might affect the processes of the other partners as well.

[Legionnaire's disease complicated by acute renal failure due to rhabdomyolosis: a case report].

The infectious origin of non-traumatic rhabdomyolysis is rare (5% of cases). An elevated muscle enzyme level is often reported in the legionnaire's disease. We report the case of a 39-year-old male, with no previous medical history, admitted for renal failure (creatininemia=977 micromol/l) secondary to rhabdomyolysis and a twelve-day history of infectious syndrome with pneumonia in the left base.