Record #243559 - GSI Repository

U-MON

STATISTICAL ANALYSIS AND AI ON PUBLIC CANCER DATA FOR THE DEVELOPMENT OF A HEALTH MONITORING SERVICE

Grant period	2020-12-01 - 2022-01-31
Funding body	European Union
Call number	H2020-INNOSUP-2020-02
Grant number	957161
Identifier	G:(EU-Grant)957161

Note: Y2Y is a start-up company in molecular diagnostics. Y2Y develops methodology for early disease detection in body fluids and is building a biobank of longitudinal samples containing disease onset for this purpose. Y2Y aims to extend its value proposition from single disease diagnostics for the health care provider market, to general health monitoring for the consumer market. This is a disruptive transition from traditional reactive healthcare to new-preventive healthcare. To establish the potential of its technology for general health monitoring, Y2Y has phrased 2 objectives and needs a bio-informatician to perform the research to achieve these objectives. The first goal will be to elucidate - by statistical analyses of public cancer tissue data - panels of small RNA molecules whose expression levels are associated with specific types of cancer. The second goal is to use these panels for the AI-driven development of a deconvolution algorithm to predict the presence of specific types of cancer in complex expression data. The performance of such an algorithm will indicate the potential of small RNA profiling for health monitoring and allow Y2Y to chose (or chose not) to invest in development of a health monitoring product. Y2Y offers a tailored integration and education program to the associate that will result in skillsets in personalized medicine and biomarker development that will render the associate attractive to companies as well as academic groups in this field.

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Record created 2021-10-10, last modified 2023-02-08

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