Mapping the Invisible: Exposomics, Biosensing, and the Future of Health (SAVE the DATE)
THE DETAILS TO BE ANNOUNCED SOON
Scientific and technological advances now allow us to measure, model, and intervene across environmental, biological, and societal dimensions of health. This seasonal school equips participants to integrate exposomics and biosensing into informed decision-ready frameworks, including digital twins, to address global health challenges.
The central focus of this seasonal school is exposomics enabled by multimodal sensing, with particular emphasis on how diverse sensing technologies can be integrated to capture the multi-dimensional, dynamic nature of human exposures. The program is not intended as a broad survey of sensors; rather, it targets a specific scientific challenge: how to design and deploy coordinated sensing systems that generate coherent, high-resolution exposome data across environmental, biological, and behavioral domains.
Exposomics requires moving beyond isolated measurements toward simultaneous, longitudinal characterization of multiple exposure layers. To address this, the workshop focuses on the integration of multimodal sensors, including wearable and ambient devices, geospatial technologies, and molecular-level sensors such as proteomics and genomics biosensors. Together, these approaches enable the collection of complementary data streams—external exposures, internal biological responses, and contextual factors—forming a more complete and actionable representation of the exposome.
A key theme is the transition from fragmented data collection to structured, multi-dimensional exposure datasets. Participants will explore how different sensing modalities can be aligned across temporal, spatial, and biological scales, and how these data can be harmonized to support downstream analysis and modeling. Particular attention is given to challenges inherent to multimodal sensing, including high quality data collection and integration, calibration across platforms, variability in resolution, and uncertainty quantification.
The workshop further emphasizes how multimodal exposome data can inform integrated analytical frameworks, including AI-driven models and digital twins, that capture interactions among exposures and their cumulative effects on health. In this context, sensing is framed as a foundational layer that determines the quality, interpretability, and utility of all subsequent analyses.
By focusing on multimodal sensing as the primary mechanism for operationalizing exposomics, the seasonal school provides a clear and cohesive thematic direction. It equips participants to design exposure measurement strategies that are not only technologically advanced, but also systematically integrated, scalable, and aligned with real-world health applications. This approach advances exposomics from a conceptual framework to a data-rich, actionable science capable of supporting the future of health.
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- Minneapolis, Minnesota
- United States
- Contact Event Host
- Co-sponsored by International Institute for Biosensing
- Starts 31 March 2026 06:00 AM UTC
- Ends 14 September 2026 06:00 AM UTC
- No Admission Charge