Predicting mortality and short-term outcomes of continuous kidney replacement therapies in neonates and infants

Background Continuous kidney replacement therapy (CKRT) has emerged as a valuable treatment option in critically ill neonates and infants with acute kidney injury (AKI) requiring dialysis. In this population, we apply artificial intelligence (AI) to identify factors influencing mortality and short-term adverse kidney outcomes. Methods The study involved neonates and infants included in the EurAKId […]

Adapt & Align: Continual Learning with Generative Models’ Latent Space Alignment

In this work, we introduce Adapt & Align, a method for continual learning of neural networks by aligning latent representations in generative models. Neural Networks suffer from abrupt loss in performance when retrained with additional training data from different distributions. At the same time, training with additional data without access to the previous examples rarely […]