Update index.md

Author: tobideusser

teaching/dsma26/index.md

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 title: Data Science for Medical Applications
 description: Summer Semester 2026
 ---
+
 # Seminar: Data Science for Medical Applications
+In this seminar, current and relevant research progress in the field of data science for the analysis of medical data is reviewed and presented by the students.
+
+## Goal
+Familiarization with different types of biomedical data (e.g., medical image data, genomic data, survey data)
+Exploration of the benefits data science can offer to medicine
+Learning about common use cases of AI in health and medicine
+Overview of the latest research and technological advancements of AI for biomedical problems
+Understanding barriers to the adoption of data science in healthcare settings, including ethical and privacy considerations when handling sensitive medical data
+
+## Seminar Contents
+An introductory session will provide some background and help with getting started. The seminar consists of a small number of meetings and leaves room for independent reading and preparation.
+
+Students choose a topic from the list of selected areas at the interface of AI and medicine. Based on this, they will read and review relevant scientific papers and present their findings in a final presentation and a short written report.
+
+We provide two to three publications per topic as a starting point. Students are required to identify and review additional relevant literature. Additionally, they are encouraged to explore and conceptualize potential new solutions for their respective topics.
+
+The seminar concludes with a final presentation and a written report.
+
+## Topics
+
+- Genome embedding models
+- Protein folding prediction
+- Radiology image analysis
+- Personalized cancer therapies
+- Symptom checkers and other telemedicine applications
+- Surgical robotics
+- Agentic clinical decision support systems
+- Regulations regarding AI/LLM tools as medical devices
 
-In this seminar, current, relevant research progress in the field of data science in the analysis of medical data is reviewed and presented by the students.
+## Course Schedule
 
-## Seminar Topics
-- Familiarization with different types of biomedical data.
-- Exploration of benefits data science can offer to medicine.
-- Overview of latest research and technological advancements.
-- Enhancement of critical thinking and problem-solving skills.
+- 30.04.2026, 10:30 — Kick-off seminar and presentation of possible topics
+- 07.05.2026, 10:30 — Seminar session and topic selection
+- 16.07.2026, 10:30 — Midterm: short presentations, questions, and discussion
+- 06.08.2026, 10:30 — Final presentations (graded), Room 0.108, b-it Bonn
+- 31.08.2026, 23:59 (AoE) — Final report submission to amllab[at]bit.uni-bonn.de
 
 ## Lecturers