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Programme Themes

Agenda-derived themes connecting environmental exposure, public health and infectious diseases, medical AI, health data and trusted collaboration.

Derived from the latest numbered programme

One programme, three connected themes

The official agenda is organised chronologically rather than by track. These editorial themes make it easier to follow the scientific questions that connect the morning and afternoon presentations.

Theme 1

Environmental Exposure, Toxicology and Exposomics

Connecting population exposure, causality, cancer genomics and toxicological validation across the exposome.

  • Spatial modelling for reconstructing environmental exposure
  • Causality for population health in the exposome era
  • Endocrine disruptors and early-onset hepatocellular carcinoma genomics
  • Closed-loop toxicological validation in exposomics
Theme 2

Public Health, Infectious Diseases and AI

Examining where AI can support public health, infectious-disease intelligence and real-world decision-making.

  • AI support and substitution in healthcare and public health
  • Training data and mpox lesion classification
  • Foundation models for decoding the language of health
  • Zoonotic and reverse zoonotic coronavirus transmission
Theme 3

Medical AI, Health Data and Trusted Collaboration

Connecting pulmonary function, medical imaging, biomarkers and trusted research environments with international cooperation.

  • AI-enabled medical development and health transformation
  • AI-enabled pulmonary function measurement and clinical application
  • AI-empowered next-generation medical imaging
  • Big-data biomarker research in urological tumours
  • Trusted Research Environments and multi-location algorithm collaboration
  • TREMAC Multi-location Algorithm Collaboration signing ceremony

Shared direction

From evidence to international cooperation

The TREMAC Multi-location Algorithm Collaboration signing ceremony connects research with international cooperation. The scientific programme brings together exposome-era causality, public health, medical AI and trusted research environments, with closing remarks concluding the afternoon programme.

View the detailed programme