Medicine of the future in the Nuremberg Metropolitan Region
The theme of Science Year 2026 is ‘Medicine of the Future,’ and this is precisely what the Nuremberg Metropolitan Region is already working on intensively.
In our #FutureMedicine series, we will be showcasing the innovations emerging in this field over the coming weeks, with a particular focus on women's health.
Round table on ‘Medicine of the Future’
FAU Erlangen-Nürnberg and Universitätsklinikum Erlangen extended an invitation
At a round table discussion organised by FAU Erlangen-Nürnberg and Universitätsklinikum Erlangen at the beginning of the year, representatives from the fields of research, politics and medicine discussed opportunities and challenges in this area. Among those present were Federal Research Minister Dorothee Bär and Bavarian Interior Minister Joachim Herrmann.
Women's hearts give silent warnings
Siemens Healthineers explains the different symptoms of heart disease
In women, coronary heart disease often manifests itself through non-specific, atypical symptoms. The symptoms differ greatly between women and men. As a result, women are more likely to receive a delayed diagnosis or no diagnosis at all. In such cases, coronary CT diagnostics can be of central importance for women. An article by sociologist Christine Rösch, Siemens Healthineers.
Medicine requires diversity – gender medicine and personalised medicine
Event organised by Medical Valley and Healthcare Frauen on the challenges in gender medicine
Health thrives on diversity! An event organised by Medical Valley EMN e.V. and Healthcare Frauen e.V. highlighted why this is the case. Among others, Dr Lisa Deloch and psychologist Björn Süfke spoke on the topic of gender medicine.
DENSE-BAVARIA: Early detection of breast cancer using AI
A study by the Department of Radiology at Uniklinikum Erlangen
DENSE-BAVARIA is a study conducted by the Department of Radiology at Erlangen University Hospital and focuses on the early detection of breast cancer in women with dense breast tissue. The aim is to use artificial intelligence to specifically improve existing MRI screening methods so that they can be carried out without the use of contrast agents. At the same time, research is being conducted to determine whether the analysis of the images can aid in the early detection of diseases of the central cardiovascular system.
EndoKI: AI-trained ultrasound for endometriosis
Interdisciplinary team researches improved non-invasive diagnosis of endometriosis
An interdisciplinary team of seven researchers from FAU Erlangen-Nürnberg, Universitätsklinkum Erlangen, the University of Würzburg and TUM has set itself the goal, as part of the ‘EndoKI’ project, of significantly improving the diagnosis of endometriosis. Through the use of AI, imaging techniques such as ultrasound and MRI are to be combined to create a comprehensive 3D patient model.
