Bio Window Knowledge: Personalizing Most Relevant Content from Big Data

Peer publications in the healthcare are many and held in silos. For researchers, the accessibility and utility of such publications can be problematic for a variety of reasons. Open access publication has addressed some of the issues, but the silos remain an issue. Electric Effect will provide a technology platform that breaks down the silo barrier, truly opening efficient access for all researchers. The proposed research project will help develop and deploy unique ML/AI processes to enhance the platform by assisting with the autonomous validation, personalization and surfacing of peer publications. This will enhance the peer user experience through increased engagement and collaboration, and integration with our proposed rewards system. Electric Effect will benefit from this project through accelerated commercialization of its ML/AI driven peer healthcare community platform and also access to new innovative methodologies developed by the researcher. In addition, the research will provide feedback to our publishing partners.

Faculty Supervisor:

Christie Ezeife


Abdulrauf Gidado


Electric Effect


Computer science


Professional, scientific and technical services


University of Windsor



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