Artificial-intelligence-based cancer diagnosis and cancer type prediction method
US12163194B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Nov 15, 2021 |
| Grant date | Dec 10, 2024 |
| Priority date | — |
| Expiry date | Nov 15, 2041 |
Classification
- Technology area (CPC C)Chemistry; Metallurgy
- CPC primaryC12Q2600/118
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention relates to an artificial-intelligence-based cancer diagnosis and cancer type prediction method, and, more particularly, to an artificial-intelligence-based cancer diagnosis and cancer type prediction method, which extracts nucleic acids from a biological sample to acquire sequence information, and thus generate vectorized data on the basis of aligned nucleic acid fragments, and then inputs same into a trained artificial intelligence model to analyze a calculated value. Compared with a conventional method, which uses a step of determining the number of chromosomes on the basis of a read count and utilizes each related value as a normalized value, the artificial-intelligence-based cancer diagnosis and cancer type prediction method according to the present invention generates vectorized data to perform an analysis using an AI algorithm, and thus is useful in that similar effects can be exhibited even when read coverage is low.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.