Towards Healthcare

Fresenius Medical Care preparation for the European Renal Association Congress 2025

Author: Towards Healthcare Published Date: 2 June 2025
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Date: 30th May 2025

Event

The known provider of products and services for renal diseases, Fresenius Medical Care, showcased innovations and research at the 62nd congress of the European Renal Association. The event will be held on 4-7th June in Vienna, Austria. The event will introduce the company’s growth, insights, and provide accurate details to advance patient care. Also, emphasizing the initiative and improved outcomes of individuals suffering from kidney diseases.

Presentation

Fresenius Medical Care’s global medical office and the company’s kidney disease think tank presented 52 abstracts covering intricate areas of nephrology such as hemodiafiltration, critical care, fluid management, and the popular use of AI in patient care. Considering the observation in a Large US hemodialysis cohort, it was awarded for the accurate study authored by RRI’s Andrea Nandorine Ban. The AI technology used for the evaluation of arterial oxygen saturation in dialysis is an attractive approach.

Another subgroup factor features the analysis of the CONVINCE randomized controlled trial. This learns if the slower has declined in self-reported health status, along with differentiation between hemodialysis and hemodiafiltration. The differentiation generally varies by sex, age, vascular access, diabetes, cardiovascular disease, and dialysis vintage. This supports improvement in functions such as cognitive and physical. The impact of fluid overload fluctuates in six months of dialysis during hospitalization with a 2-year follow-up. It’s possible with the collected data from the body composition monitor. A monitor is a whole-body bioimpedance spectroscopy device. This analysis of early changes in fluid overload in HD, HDF patients helps to reduce the risk of 2-year follow-up. A retrospective analysis shortens the treatment time, and analysis reinforces the treatment time. This contributes to the clinical staff utilizing the time and allows them to work on other operations.

Open AI models and retrieval-augmented generation are elevating in the healthcare sector. This is an innovation that enables personalization and scalable dietary recommendations to dialysis patients.

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