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Transitions in the age of biomedical AI

FREIBURG | GERMANY

27.09. - 01.10.26

Topics

  • Design and analysis of interventional trials
    Clinical trials, early phase trials, randomized trials, complex clinical trials
  • Screening and diagnostic studies
    Diagnostic study design, test performance, related statistics or applications
  • Causal inference
  • Time-to-event techniques
    Survival analysis, competing risks, multistate models, recurrent events, cure models
  • Longitudinal data and joint models
  • Missing data and measurement error
  • Evidence synthesis
    Meta-analysis, network meta-analysis, systematic reviews
  • Prediction modeling
    Selection and validation of prediction models, model-based measurement design
  • General machine learning and AI methods
    Big data, small data, deep learning, neural networks
  • Large Language Models
  • Synthetic data
    Generation and validation, simulation and software
  • Image & signal processing
  • Electronic health records and registries
    Real-world data, EHR for clinical research, building and operation of registries
  • Omics
    Genetic studies, gene expression, single cell data, bioinformatics, systems biology, high dimensional data, precision medicine, personalised medicine
  • Cancer epidemiology
  • Infectious disease epidemiology
    Epidemic modeling, infectious disease modelling, COVID-19
  • Methods in different fields of epidemiology
    Epidemiological methods, statistical methods in epidemiology, public health, pharmacoepidemiology
  • Health economic evaluations
  • Health information systems
    Clinical decision support, evaluation of IT applications, digital transformation, mHealth, interoperability, FHIR
  • Data protection
    Ethical aspects, regulation, IT security, processing
  • Data integration in clinical routine
    Data exchange, provision, integration, linkage, quality, processing workflows, metadata, terminology
  • Data management in biomedical research
    FAIR principles and tools, data management in studies, research data infrastructure, data privacy
  • Software development
    Human factors, usability, software engineering, long-term maintenance and development of software tools
  • Education and communication
    Higher education, science communication, citizen science, communicating statistical concepts
  • Meta-research
    Reproducibility, reporting, transparency, legal aspects and ethics