Lecture Series: Medical Information Sciences
Medical Information Sciences
The future of medical research and healthcare is personalized, digitized, and data-driven. The provision, analysis, and interpretation of this data rely on interdisciplinary collaborations. Thus, the foundations for future medical progress are laid at the interface of medicine and computer science.
The field of research and studies Medical Information Sciences has been established as a response to this development, introducing a guest lecture series of the same name in the winter semester of 2022/2023. It adresses current questions from science and provides insights into corresponding areas of industry.
The MIS lecture series will take place this winter semester on Thursdays at 4:00 pm at the Faculty of Applied Computer Science in Lecture Hall N2045. If you are interested in accessing the shared electronic calendar of the lecture series, please send an e-mail to office.bioinf@informatik.uni-augsburg.de.
Additionally, the events will be live-streamed to the four CCC-WERA-Allianz locations. If you are interested in attending the live-stream, we kindly ask you to register by sending an informal email to office.bioinf@informatik.uni-augsburg.de on time.
The lectures aim at an interested professional audience and will be held in English.
More information about the speakers and their lectures are available on this website or via the official MIS newsletter, which you can register for at the bottom of this webpage.
Continuing Medical Education (CME): All physicians can have two points credited from the "Bayerische Landesärztekammer" (BLÄK, Bavarian General Medical Council) for each individual lecture. Interested physicians can register for participation in advance by sending a message to IDM-Sekretariat@uk-augsburg.de. Participation will be confirmed after the respective event.
In addition, prior to each lecture, we offer an opportunity to discuss individual scientific questions, topics or cooperation opportunites with the speaker. If you are interested, please register in advance by sending a short message to office.bioinf@informatik.uni-augsburg.de.
Below, you find the schedule for the summer semester 2025 with further information on each single lecture:
Veranstaltungsort: Lecture hall N2045 (Faculty of Applied Computer Science)
Abstract
Natural Language Processing (NLP) plays a crucial role in analyzing medical text for risk detection and improving patient-doctor communication. However, working with sensitive clinical data presents significant challenges, particularly in anonymization and patient privacy protection.
This talk will focus on privacy-preserving NLP, specifically anonymization techniques that go beyond direct identifiers to address risks from implicit information. I will discuss methods and challenges of de-identifying medical text while preserving its utility for downstream tasks such as risk prediction and clinical decision support. Beyond privacy, I will address how NLP can be leveraged for early risk detection: From multilingual adverse drug reaction detection to mental health risk assessment on social media and relapse prediction in psychotherapeutic settings.
Referent: Dr. Lisa Raithel
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Veranstaltungsort: Lecture hall N2045 (Faculty of Applied Computer Science)
Abstract
The body of published biomedical literature is growing at a rate that challenges manual management. Large Language Models (LLMs) enable large-scale processing of textual information and have the potential to enable a step change in how we can use evidence and research through detailed and flexible automation of information extraction. In this presentation, I will present recent progress towards harnessing LLMs to accelerate systematic reviewing and the translation of evidence into personalised treatments, with applications in mental health and oncology.
Referent: Prof. Dr. Janna Hastings
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Janna Hastings was born in Cape Town, South Africa where she completed undergraduate studies in Mathematics and Computer Science. Thereafter, she moved to Cambridge, UK to join the Cheminformatics and Metabolism group at the European Bioinformatics Institute (2006-2015) and obtained her PhD in Computational Biology from the University of Cambridge (2015-2019) studying the role of metabolism in healthy aging using multi-omics data and a time-series modelling approach. Since August 2022 she is Assistant Professor of Medical Knowledge and Decision Support at the Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zurich, and Vice-Director of the School of Medicine at the University of St. Gallen. She is also an Associate at the Centre for Behaviour Change at University College London, and Group Leader of the Swiss Institute for Bioinformatics. The focus of her current research is on AI in medicine.
Veranstaltungsort: Lecture hall N2045 (Faculty of Applied Computer Science)
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Veranstaltungsort: Lecture hall N2045 (Faculty of Applied Computer Science)
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Veranstaltungsort: Lecture hall N2045 (Faculty of Applied Computer Science)
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Referent: Dr. Ömer Sümer
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Veranstaltungsort: Lecture hall N2045 (Faculty of Applied Computer Science)
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Veranstaltungsort: Lecture hall N2045 (Faculty of Applied Computer Science)
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Referent: Dr. Fabian Horst
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