CAIMed Meet-up: AI in Personalized Medicine: Multi-Omics, Imaging & Causal Inference with Small Data
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AI in Personalized Medicine: Multi-Omics, Imaging & Causal Inference with Small Data
We are pleased to invite you to the upcoming CAIMed Meet-up on June 25, 2025 – 1:00 p.m. to 5:00 p.m. at Lecture Room MED23, Humboldtallee 364a, 37073 Göttingen (maps link). The meet-up will explore cutting-edge advances in AI for personalized medicine, spanning multi-omics integration, medical imaging and causal inference with small data sets.
Agenda
1:00 p.m. – 1:40 p.m. Interpretation of Tree Ensembles Conserving Latent Tree Structures (Dr. rer. hum. biol. Björn-Hergen Laabs, Universität zu Lübeck)
1:40 p.m. – 2:20 p.m. Trustworthiness Challenges for ML-Based Anti-Cancer Drug Response Predictions (Dr. Kerstin Lenhof, ETH Zürich)
2:20 p.m. – 3:00 p.m. Digital Histo-Pathology (Martin Zielke, Institute of Pathology, Universitätsmedizin Göttingen)
3:00 p.m. – 3:30 p.m. Coffee Break
3:30 p.m. – 3:50 p.m. Gene-Gene Interaction Networks Derived from Spatial Transcriptomics Data (Dr. Thomas Sterr, Medical Bioinformatics & Medical Data Science, Universitätsmedizin Göttingen)
3:50 p.m. – 4:10 p.m. Integrating and Sharing Data from the Perspective of a Comprehensive Cancer Center: From Genome Sequencing to Molecular Tumor Boards (Dr. Jürgen Dönitz, Medical Bioinformatics & Knowledge Management, Universitätsmedizin Göttingen)
4:10 p.m. – 4:30 p.m. Decentral and Collaborative Development of AI Models (Andreas Keil, Institute of Pathology, Universitätsmedizin Göttingen )
4:30 p.m. – 4:50 p.m. Machine Learning on Tabular Registry Data – Case Study of Post-TAVI Outcome Prediction (Dr. Andreas Leha, Service Unit "Medical Biometry & Statistical Bioinformatics", Medical Statistics, Universitätsmedizin Göttingen)
4:50 p.m. – 5:00 p.m. Discussion & Conclusions Prof. Dr. Tim Beißbarth, Medical Bioinformatics, Universitätsmedizin Göttingen)
CAIMed is funded by the Ministry of Science and Culture of Lower Saxony with funds from the program zukunft.niedersachsen of the VolkswagenStiftung.
Ticket(s)
CAIMed is the Lower Saxony research center for artificial intelligence and causal methods in medicine. We develop innovative methods for improved, personalized healthcare and contribute to the management of widespread diseases such as cancer, cardiovascular diseases and infections. The combination of excellent locations in Lower Saxony for methodical AI research, data-intensive medicine, medical informatics and basic medical research creates a unique flagship project for research into AI and personalized medicine.
CAIMed relies on the linking of research data, clinical data and patient care data as well as the use of artificial intelligence and causal methods. This enables prevention, diagnostics, therapy and monitoring of therapeutic success to become more effective and efficient and the individual needs of each person to be better identified and served.