Project description:
When two rare autoimmune diseases develop simultaneously — immune thrombocytopenia (ITP), in which the immune system attacks the body's own platelets, and antiphospholipid syndrome (APS), which causes life-threatening blood clots — a dangerous dilemma arises: the body risks bleeding and clotting at the same time.
Metachromatic leukodystrophy (MLD) is a rare genetic disorder of the nervous system, which, if left untreated, leads to severe disability and death in early childhood. New treatment options such as gene therapy are showing promising results, but they are only effective in the pre-symptomatic stage. A preliminary study has already successfully established a program for screening newborns to enable pre-symptomatic diagnoses.
As in previous years, the EKFS will award publication prizes to outstanding researchers for work funded by the EKFS in 2025. Each prize is endowed with €10,000, which recipients are free to use at their discretion.
The following eight researchers were honored:
Ziel der Ausschreibung der Else Kröner-Fresenius-Stiftung ist es, in Klinik und Forschung besonders qualifizierten Ärztinnen und Ärzten im Anschluss an eine längere Familien- oder Betreuungsphase mit flexibel und individuell einsetzbaren Fördermitteln den effektiven Wiedereinstieg und die Fortsetzung ihrer erfolgversprechenden Karriere zu ermöglichen. Dafür schreibt die Else Kröner-Fresenius-Stiftung für das Jahr 2026 bis zu drei Förderungen aus.
Bewerben können sich an Universitätsklinika in Deutschland tätige promovierte oder habilitierte Ärztinnen und Ärzte,
Radiological decision-making relies on the integration of visual imaging data and clinical information. Multimodal large language models can process both modalities, but currently lack mechanisms for targeted weighting. The aim of this project is to systematically investigate, using neuro-oncology as an example, how imaging and contextual information can be optimally combined to improve diagnostic accuracy, reduce misinterpretations, and enable structured, visually supported presentation of clinical cases.
