Opening the Black Box: Interpretable AI Models in Genomics
| Veranstaltungsdetails | |
|---|---|
| Datum: | 23.01.2024, 17:30 Uhr - 18:30 Uhr |
| Ort: | Großer Hörsaal Universitätsklinikum, Stenglinstraße 2, 86156 Augsburg |
| Veranstalter: | Lehrstuhl für Biomedizinische Informatik, Data Mining und Data Analytics |
| Themenbereiche: | Informatik, Gesundheit und Medizin |
| Veranstaltungsreihe: | Medical Information Sciences |
| Veranstaltungsart: | Vortragsreihe |
| Vortragende: | Prof. Dr. Carl Michael Herrmann |
In diesem Wintersemester wird die im letzten Jahr erfolgreich gestartete Vortragsreihe Medical Information Sciences fortgesetzt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben jeden Dienstag ab 17:30 Uhr Einblicke in aktuelle Fragestellungen und Anwendungsgebiete des breiten Forschungsfeldes Medical Information Sciences.
In this talk, Prof. Carl Herrmann will review some recent developments in the field of interpretable AI models for genomics data. These models can used to predict perturbation effects from drug treatment of genetic effects, or infer gene regulatory networks.
Weitere Veranstaltungen der Veranstaltungsreihe "Medical Information Sciences"
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„From Modeling Molecular Networks to Predictive Medicine”14. November, 2022
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„From protein identification to functional interpretation“21. November, 2022
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Medical Information Sciences28. November, 2022
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From functional drug profiling to multi-omics biomarker identification in paediatric solid tumors28. November, 2022
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Tiled Amplicons Panels in NGS-Based Genetic Testing05. Dezember, 2022
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Retrieval-powered Zero-shot Text Classification16. Januar, 2023
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Implementation and Application of Clinical Data Warehousing for Studies in Patients with Heart Failure23. Januar, 2023
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Morphological ECG Analysis – Revealing Valuable Features for Medical Diagnosis30. Januar, 2023
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Using Anatomical and Physiological Constraints in Machine Learning for Medical Image Processing02. Mai, 2023
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Data-driven Quality Improvement in the ICU: How to Improve Quality of Care Using a Quality Registry?09. Mai, 2023
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Prognostic and Predictive Models in Multiple Sclerosis - a Task that is Overwhelming the Community16. Mai, 2023
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Closing the Loop with Digital Health Systems23. Mai, 2023
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Genomic Data Protection and Management [research focus]13. Juni, 2023
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Clinical Decision Support in Critical Care20. Juni, 2023
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Retinal Vessel Analysis – New Frontiers for Cardiovascular Risk Assessment and Treatment Monitoring27. Juni, 2023
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Challenges of Medical Image Analysis in Rare Disorders04. Juli, 2023
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From Code to Clinic: LUMC’s Practical Approach to AI Implementation11. Juli, 2023
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Multi-Omics Data Analysis [research focus]18. Juli, 2023
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Natural Language Processing in the Clinical Narrative24. Oktober, 2023
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Stress Detection and Management in Daily Life Using Wearable Sensors07. November, 2023
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Can’t Touch This! - Unobtrusive Sensing Using Artificial Intelligence14. November, 2023
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Health Data FAIRification: Challenges and Opportunities21. November, 2023
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GestaltMatcher: an AI that can Delineate Dysfunction from Dysmorphism28. November, 2023
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Responsible AI for Mental Healthcare: Potential and Pitfalls05. Dezember, 2023
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Mobile Neurophysiological Monitoring: Novel Sensors and Signal Processing Algorithm12. Dezember, 2023
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Anaesthesia and Intensive Care Medicine 4.009. Januar, 2024
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Live Brain Cancer Diagnostics from Sparse Epignomic Data16. Januar, 2024
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Opening the Black Box: Interpretable AI Models in Genomics23. Januar, 2024
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Magnetoelectric Sensor Systems for (Bio-) Medical Applications30. Januar, 2024
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Translational Research Informatics: Projects, Strategies and Structures in Berlin and Germany06. Februar, 2024
Weitere Veranstaltungen: Lehrstuhl für Biomedizinische Informatik, Data Mining und Data Analytics
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