Prof. Dr. Julia Vogt

Area of Research

Description of Research Interest

My group carries out research at the intersection of machine learning and medicine with the ultimate goal of improving diagnosis and treatment outcome to the benefit of the care and wellbeing of patients. Our research deals with the advancement of machine learning models and methodologies to address the specific challenges of the medical domain. Specifically, we work in the areas of multimodal data integration, structure detection, and trustworthy (or transparent) models. 

Special Expertise

• Machine Learning Research
  
• Biomedical Research
  
• Clinical Decision Support Tools
  

Shareable Platforms, Services, Equipment & Infrastructure

• Multimodal data integration, structure detection, longitudinal data analysis, representation learning and trustworthy (or transparent) models.
  
• Analysis of clinical data such as medical images and ultrasound videos, electronic health records, data from wearable devices, and lab test data, among others.
  
• Development and deployment of computational and statistical tools that are necessary to enable personalized medical treatment of patients.
  
• Development, implementation, and dissemination of decision support tools that address relevant clinical problems, such as early neonatal jaundice detection, or pediatric appendicitis.
  

Member of Collaborative/interdisciplinary Research Consortia

• StimuLOOP: Precision sensorimotor neurorehabilitation through personalized stimulation loops, 2021-2026, Consortium funded by Vontobel Stiftung and the LOOP Zürich
  
• TransMed: Transparent Machine Learning in Medicine: development and application of interpretable and explainable models, 2022-2027, ERC Starting Grant funded by State Secretariat for Education, Research and Innovation (SERI)
  
• Pediatric personalized research network Switzerland (SwissPedHealth) - a Joint Pediatric National Data Stream, 2022-2025, Consortium co-funded by the Swiss Personalized Health Network (SPHN) and the Personalized Health and Related Technologies (PHRT)
  
• National AI Initiative for Precision Oncology (NAIPO), a national flagship initiative by Innosuisse, 2026-2030
  
• Swiss BrAIn Health - Leveraging AI for Personalized Brain Health Interventions, a national flagship initiative by Innosuisse, 2026-2030