Beschreibung

The Biotwin Oncology project is centered around the development of a non-invasive, at-home blood sampling technology designed for early detection of cancer, with a primary focus on pancreatic, colorectal, lung, ovarian, breast, and prostate cancers. The overarching goal of this research, spanning a duration of 24 months, is to assist healthcare practitioners with valuable insights to aid in clinical decision-making while simultaneously empowering patients in their battle against cancer. Additionally, the project endeavors to refine prognosis methodologies and understand the speed of cancer spread.,To achieve these objectives, the research project will leverage advanced biomarker profiling, bioinformatics, and machine learning algorithms. Participants in the study will provide at-home blood samples, which will then be analyzed to identify biomarkers profile correlating with targeted cancers. Additionally, the project will engage in the exploration of biomarker signatures for prognostic purposes and undertake investigations into cancer metastasis. To achieve these objectives, the research project will leverage advanced biomarker profiling, bioinformatics, and machine learning algorithms. Participants in the study will provide at-home blood samples, which will then be analyzed to identify biomarkers profile correlating with targeted cancers. Additionally, the project will engage in the exploration of biomarker signatures for prognostic purposes and undertake investigations into cancer metastasis.

Teilnahmevoraussetzungen

All users

Ziel

To achieve these objectives, the research project will leverage advanced biomarker profiling, bioinformatics, and machine learning algorithms. Participants in the study will provide at-home blood samples, which will then be analyzed to identify biomarkers profile correlating with targeted cancers. Additionally, the project will engage in the exploration of biomarker signatures for prognostic purposes and undertake investigations into cancer metastasis.

Erwartete Ergebnisse

  • Early detect of various cancers
  • Prognostic assistance
  • Prediction reoccurrence