Lecture Series: Medical Information Sciences
General information
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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.
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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.
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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.
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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.?
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The lectures aim at an interested professional audience and will be held in English.
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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.
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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.
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Below, you find the schedule for the winter semester 2025/26?with further information on each single lecture:
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schedule for the winter semester 2025/26
Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Speaker:? Dr. Yvonne Gladbach
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Artificial intelligence has the potential to transform neurosurgical practice, yet a significant gap remains between data scientists who develop algorithms and models and clinicians who face real-world problems. The lecture will address the importance of closing this gap to create meaningful, clinically integrated AI tools. Drawing on the experience of the GEIBAC research group at Río Hortega University Hospital, several ongoing projects will be presented, including GlioMap, CereBleed, SonoDetect, SAH-Mortality, and NeuroRIS-AI, which leverage machine/deep learning and computer vision applied to multimodal neuroimaging. The session will highlight practical strategies for interdisciplinary collaboration, data curation, validation, and clinical deployment of AI systems within hospital workflows, aiming to translate computational innovation into improved neurosurgical care.
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Speaker:? Dr. Santiago Cepeda
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Biography
Dr.?Cepeda is a neurosurgeon specialized in brain tumor surgery, trained at Hospital 12 de Octubre in Madrid, and awarded a cum laude PhDfrom Universidad Complutense, where he also completed a postgraduate diploma in translational oncology. He currently serves as coordinator of the brain tumor scientific committee and staff neurosurgeon at R?io Hortega University Hospital.?
He leads the Biomedical Imaging and Computational Analysis Group (GEIBAC), part of the Biomedical Research Institute of Valladolid (IBioVall), and serves as Principal Investigator in nationally and regionally funded R&D projects focused on artificial intelligence and neuroimaging. With expertise in programming and data science, Dr. Cepeda bridges clinical neurosurgery and computational analysis to develop AI-based tools for glioblastoma, intraoperative ultrasound, and neurovascular pathology. https://geibac.uva.es/
Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Speaker:? Prof. Dr. Stephen Gilbert
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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In this talk I will first give a brief summary of the principles governing why we move slowly or fast, and how these principles also affect the way we make decisions. I will then present recent studies in which we investigated how the speed of decision-making is modulated in cortico-subthalamic networks and whether neural control of decision-making speed is related to movement speed. Finally, I will present a behavioural framework for abnormally slow movements as observed in Parkinson’s disease based on concepts from utility theory and optimal control. This framework might be useful for future studies investigating the neural mechanisms underlying changes in decision-making and motor control in Parkinson’s disease and other neuro-psychiatric disorders.
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Speaker:? Dr. Damian Herz
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Biography
Damian Herz, MD PhD, is a Neurologist and Senior Physician at the University Hospital Heidelberg with vast experience in research including 5 years of post-doctoral training at the University of Oxford, U.K., under supervision of Peter Brown. His translational research focuses on the neurobiological basis of clinical impairment in Parkinson’s disease and how this can be ameliorated using neuromodulation in particular adaptive deep brain stimulation approaches. He has published >50 peer-reviewed manuscripts in high-impact journals such as Nature Communications, Current Biology, Plos Biology, Brain and Annals of Neurology (>4000 citations, H-index: 29). Clinically, he mainly works with patients with Neurodegenerative disorders, in particular Parkinson’s disease, and deep brain stimulation.
Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Understanding how genes shape metabolism is key to uncovering the mechanisms underlying metabolic health and disease. Our group focuses on disentangling the complex interactions between metabolic pathways, genetic regulation, and environmental influences across tissues and organs. By integrating multi-omics, fluxomics, and metabolic phenotyping data, we aim to build a comprehensive picture of metabolic regulation and its perturbations in disease states, with a particular emphasis on Type 2 Diabetes. Through these integrative approaches, we seek to advance the mapping of genetic-metabolic wiring and uncover new insights into metabolic dysfunction.
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Speaker:? Dr. Dominik Lutter
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Biography
Dr. Dominik Lutter is Group Leader of Computational Discovery Research at the Institute for Diabetes and Obesity, Helmholtz Munich. He earned his PhD in Biology from the University of Regensburg in 2009, focusing on computational methods to identify regulatory networks in mammalian transcriptomes. After postdoctoral postions in systems biology and computational modeling at Helmholtz Munich, he joined the Institute for Diabetes and Obesity in 2013 and established his research group in 2015. His research combines computational biology, multi-omics integration, and metabolic phenotyping to elucidate the genetic and regulatory architecture of metabolism and its dysregulation in diseases such as Type 2 Diabetes.?
Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Speaker:? Prof. Dr. Janina Bahnemann
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Speaker:? PD Dr. Daniel Gr?fe
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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Speaker:? Prof. Dr. Philipp Altrock
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Location: Lecture hall N2045 (Faculty of Applied Computer Science)
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