Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models

Author:

Balasubramanian Jeya Balaji1ORCID,Choudhury Parichoy Pal12,Mukhopadhyay Srijon1,Ahearn Thomas1,Chatterjee Nilanjan3,García-Closas Montserrat14,Almeida Jonas S1ORCID

Affiliation:

1. Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville, MD 20850, United States

2. Surveillance & Health Equity Science, American Cancer Society , Atlanta, GA 30303, United States

3. Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University , Baltimore, MD 21205, United States

4. The Cancer Epidemiology and Prevention Research Unit, The Institute of Cancer Research , London, SM2 5NG, United Kingdom

Abstract

Abstract Objectives Absolute risk models estimate an individual’s future disease risk over a specified time interval. Applications utilizing server-side risk tooling, the R-based iCARE (R-iCARE), to build, validate, and apply absolute risk models, face limitations in portability and privacy due to their need for circulating user data in remote servers for operation. We overcome this by porting iCARE to the web platform. Materials and Methods We refactored R-iCARE into a Python package (Py-iCARE) and then compiled it to WebAssembly (Wasm-iCARE)—a portable web module, which operates within the privacy of the user’s device. Results We showcase the portability and privacy of Wasm-iCARE through 2 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 keep user data on-device during risk calculation. Conclusions Wasm-iCARE fosters accessible and privacy-preserving risk tools, accelerating their validation and delivery.

Funder

National Cancer Institute

American Cancer Society

Publisher

Oxford University Press (OUP)

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