Description

The BioTwin Oncology project aims primarily to develop an innovative, non-invasive technology for blood collection at home, in order to detect various types of cancer early, in particular cancers of the pancreas, the colon, the lung, the ovaries, the breast and the prostate. This study, running over a period of 24 months, sets itself the overall objective of offering health professionals information that is essential to informing their clinical decisions, while strengthening the autonomy of patients in their fight against cancer. Furthermore, this project works to improve prediction methods and to deepen our understanding of the progression of cancer. To reach these objectives, the research project will implement advanced biomarker profiles, bioinformatics techniques and machine learning algorithms. Study participants will provide blood samples at home, which will then be analyzed in order to correlate the specific biomarkers associated with the targeted cancer types. In addition, the project will explore biomarker Bio-Signatures for prediction purposes and will conduct investigations into the metastatic spread of cancer. To reach these objectives, the research project will implement advanced biomarker profiles, bioinformatics techniques and machine learning algorithms. Study participants will provide blood samples at home, which will then be analyzed in order to correlate the specific biomarkers associated with the targeted cancer types. In addition, the project will explore biomarker Bio-Signatures for prediction purposes and will conduct investigations into the metastatic spread of cancer.

Eligibility

All users

Objective

To reach these objectives, the research project will implement advanced biomarker profiles, bioinformatics techniques and machine learning algorithms. Study participants will provide blood samples at home, which will then be analyzed in order to correlate the specific biomarkers associated with the targeted cancer types. In addition, the project will explore biomarker Bio-Signatures for prediction purposes and will conduct investigations into the metastatic spread of cancer.

Expected outcomes

  • Early detection of various cancers
  • Support for prognosis
  • Prediction of recurrence