Machine learning analysis techniques for clinical and patient data
US12357240B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 12, 2022 |
| Grant date | Jul 15, 2025 |
| Priority date | — |
| Expiry date | Sep 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/50
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Systems and methods are disclosed for analyzing data from oncology treatments such as immune checkpoint inhibitor or radiotherapy therapies, including predicting adverse events of the oncology therapies, predicting objective response of the oncology therapies, predicting symptoms from the oncology therapies, and use of such predictions by technological implementations to achieve improved system and medical outcomes. An example technique for generating a predicted treatment outcome includes: receiving patient data for a human subject, which provides patient-reported outcomes collected from the human subject relating to a particular oncology treatment; processing the patient data with a trained artificial intelligence (AI) prediction model, which receives the patient data as input and produces a prediction of a treatment outcome as output; and outputting data to modify a treatment workflow of an oncology treatment for the human subject, based on the prediction of the treatment outcome.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.