Health! Knowledge for all by Coburg University of Applied Sciences

Health theme evenings

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The university’s themed evenings on health bring topics to the table that are at the cutting edge of research and at the same time affect our everyday lives.
The university invites you to event evenings at which scientists and experts from the field provide insights into current research and developments on various topics.
The theme evenings are supported by the CREAPOLIS + design project as part of the federal-state initiative Innovative University and by the Technology Alliance Upper Franconia (TAO).
TAO is an association of the four universities in Upper Franconia, i.e. the universities of Coburg and Hof and the universities of Bamberg and Bayreuth, which aims to strengthen Upper Franconia as a science location and promote transfer.
With the series “Health! Knowledge for everyone by Coburg University of Applied Sciences”, Coburg University of Applied Sciences is continuing the theme evenings from the TAO Health Year 2023.
Participation in the events is free of charge.

Themed evening Healthy pregnant - strong together.

Pregnancy is a special time in a person’s life.
It is a huge challenge in which expectant parents ask themselves many questions and look for information everywhere.
This evening will present current research findings and the wide range of support services available to parents in the city and state of Coburg.
How has obstetrics changed in recent years?
How is our brain affected by pregnancy?
How can I support my partner during the process?
Find out more about the many health-promoting measures – with practical tips and exercises.
A warm invitation to expectant parents, relatives and professionals. When Tuesday, June 25, 2024, 6 – 7.30 pm Where MEAT – Alte Kühlhalle – Schlachthofstr.
1, Coburg Speakers

  • Barbara Wank (midwife at the midwives’ association at Coburg Hospital, Wank und Partnerinnen): The healthy pregnant woman through the ages
  • Maria Kuhn (PhD student, Coburg University of Applied Sciences): Self-care during pregnancy
  • Henrike Beck (Midwife Coordination Coburg): Support in Coburg for expectant parents and young families

Program Healthy pregnant – Strong togetherFlyer Healthy pregnant – Strong together

Topic evening: Caregiving - what now? Problems and solutions

A care case often occurs quite suddenly.
Those affected are then faced with many unanswered questions: What support options are there?
Who finances them?
And how do I find a service that meets my needs?
This is often the start of a gruelling organizational marathon.
This themed evening sheds light on the current situation of carers and people in need of care in Germany.
It provides an insight into what is currently being done in Coburg to improve care structures and thus the situation of those affected.
Finally, we will present approaches and would like to discuss with you how individualized, needs-based care and support services can be organized more easily in the future and thus made more accessible. When Tuesday, April 23, 2024, 6 to 7.30 p.m. – followed by an open discussion with a healthy buffet Where MEAT – Alte Kühlhalle – Schlachthofstr.
1, Coburg Speakers

Further information

Digitalization and artificial intelligence in personalized medicine: Who decides on my therapy?

The development of artificial intelligence (AI) is currently increasing rapidly in all areas and is also playing an ever greater role in our everyday lives.
This is also raising questions in healthcare and medicine: Will AI decide on my medication?
Will we still need doctors in the future?
To what extent are AI and machine learning already being used?
These questions arise from uncertainties and fears.
The themed evening “Artificial intelligence in personalized medicine: Who decides on my therapy?” sheds light on the opportunities of AI and machine learning for personalized medicine and their possible applications. When Tuesday, November 12, 2024 | 18:00-19:30 Where Alte Kühlhalle, Schlachthofstr.
2, Coburg The evening will provide an insight into what is currently being researched in Coburg and at the Friedrich-Alexander-University Erlangen-Nuremberg to bring AI and machine learning into clinical application and also to what extent the pharmaceutical industry is already using such approaches in the field of personalized medicine.
Afterwards, we would like to discuss with you what should be considered when using AI for medicine and how the use and application of AI can be presented transparently. ProgramDr.Andreas Rowald, Group Leader for Digital Health at the FAU Erlangen-Nuremberg:“ProModell: Digital twins for the treatment of neurological diseases” The need for treatment options for diseases of the nervous system is increasing, not least due to demographic change.
Neuromodulation technologies can be used to specifically stimulate nerves in the spinal cord and brain.
The technology promises great therapeutic benefits.
However, its clinical application has so far been very complex and often relies on “trial and error”, as disease characteristics and patients differ individually and there has been a lack of decision-making aids to date.
Innovative approaches such as machine learning and digital twins help to better understand how the technology interacts with the nervous system.
This can accelerate development and improve clinical decision-making.
The ProModell research group develops digital twins to optimize neurostimulation strategies and presents impressive successes – for example, the restoration of walking ability after paraplegia in less than 24 hours. Prof. Dr. Stefan Simm, Professor of Bioinformatics at Coburg University of Applied Sciences:“Transparency is key: Explainable AI models for detecting biomarkers for diseases” With AI models that are designed as a “black box”, it is not possible to understand how an artificial intelligence decision comes about.
However, transparency regarding the basis for decision-making is very important for successful use in medicine and targeted support in the medical environment.
How can the flood of medical data be analyzed by AI in an explainable way in order to classify diseases and identify biomarkers?
To this end, a working group at Coburg University of Applied Sciences is developing AI models that can be specifically explained by adding biological information in order to train the AI transparently. This basic concept will be explained during the health theme evening using the example of cancer. Dr. Matthias Zwick, Clinical Bioinformatics – Boehringer Ingelheim

“How does a drug affect me?
Machine learning in personalized medicine” In cohort studies, researchers collect data from a large group of study participants over several years.
This results in large data sets with many different types of measured values, including genetic information.
Researchers use machine learning methods to find characteristic features for diseases, for example, in these large amounts of data, known as biomarkers.
These biomarkers can later be used for early detection, diagnosis and therapy.
Machine learning is used to predict the effectiveness of a drug based on such biomarkers or certain patient characteristics.
This themed evening will explain this using specific application examples.

Register here