  Objective: Absolute risk models estimate an individual's future disease risk
over a specified time interval. Applications utilizing server-side risk
tooling, such as the R-based iCARE (R-iCARE), to build, validate, and apply
absolute risk models, face serious limitations in portability and privacy due
to their need for circulating user data in remote servers for operation. Our
objective was to overcome these limitations.
  Materials and Methods: We refactored R-iCARE into a Python package (Py-iCARE)
then compiled it to WebAssembly (Wasm-iCARE): a portable web module, which
operates entirely within the privacy of the user's device.
  Results: We showcase the portability and privacy of Wasm-iCARE through two
applications: for researchers to statistically validate risk models, and to
deliver them to end-users. Both applications run entirely on the client-side,
requiring no downloads or installations, and keeps user data on-device during
risk calculation.
  Conclusions: Wasm-iCARE fosters accessible and privacy-preserving risk tools,
accelerating their validation and delivery.
