TodsysHealth is poised to detect cancer early by combining high-intensity sequencing of unprecedented breadth and depth with the techniques of modern data science. Through what we believe to be one of the largest clinical study programs ever pursued in genomic medicine, TodsysHealth is creating vast datasets to develop evidence supporting our products.
An increasing body of evidence suggests tumors release cell-free nucleic acids (cfNAs) into the bloodstream. cfNAs are small fragments of DNA and RNA, and reflect the genomic features of the tumor from which they originated. cfNAs are thought to be a direct measure of cancer and can be detectable in the bloodstream of people with cancer, potentially even before symptoms present.
The fraction of tumor-derived cfNA in the bloodstream compared to cfNA from non-cancerous cells is very small, necessitating the ability to distinguish faint signals of early tumors from an overwhelming background of genomic material.
TodsysHealth is using the latest data science tools to query cfNAs at extraordinary depth and detect cancer signals.
We feed our large clinical and sequencing data sets into our bioinformatics and machine learning algorithms to distinguish the true invasive cancer signals from a sea of background biological noise.
From the laboratory to the clinic, TodsysHealth aims to produce the highest-quality data and transform it into actionable information for healthcare providers. Our high-intensity sequencing assays and population-scale clinical studies are creating datasets of unprecedented scale in modern clinical medicine.
We are deploying, at scale, the latest tools of data science, including powerful approaches from machine learning such as neural networks. We intend to apply such methods to the ultimate problem of classifying individuals according to the presence and type of cancer.
TodsysHealthL is committed to developing a deep understanding of cancer biology. We are building an atlas characterizing the landscape of cell-free nucleic acids in thousands of individuals with and without cancer, and will validate our early detection products in real-world populations.
We are generating scientific and clinical evidence through clinical studies enrolling tens of thousands of participants and in some of the largest cancer-related studies to date.
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