A panel of seven protein tumour markers for effective and affordable multi-cancer early detection by artificial intelligence: A large-scale and multicenter case-control study
| Title | A panel of seven protein tumour markers for effective and affordable multi-cancer early detection by artificial intelligence: A large-scale and multicenter case-control study |
|---|---|
| Description | The study discusses the development of OncoSeek, a novel blood-based test for multi-cancer early detection. The study utilized artificial intelligence to analyze data from clinical testings and accurately distinguish between cancer and non-cancer individuals. OncoSeek demonstrated high sensitivity in detecting common cancer types and even showed promising results for high-mortality cancers without routine screening tests. The test outperformed conventional clinical methods, significantly reducing false positive rates and increasing specificity. Additionally, OncoSeek's affordability, accessibility, and non-invasive nature make it a suitable option for low- and middle-income countries. Overall, OncoSeek represents an efficient and robust solution for early cancer detection with the added benefit of predicting the affected tissue of origin, facilitating follow-up diagnostic workup. |
| Organism | Homo sapiens |
| Data Type | Other Type of Proteomic Data |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA017145 |
| Release Date | 2023-11-29 |
| Submitter | Shiyong Li (lishiyonglee@gmail.com) |
| Organization | SeekIn Inc. |
| Submission Date | 2023-05-21 |
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| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download Times | Download |
|---|---|---|---|---|---|---|---|
| OMIX004115-01 | Protein tumor marker expression data | 7407 | Other Type of Proteomic Data | 557.7 KB | xlsx | 0 | Controlled |