Method of predicting development and severity of graft-versus-host disease
US9563744B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 23, 2015 |
| Grant date | Feb 7, 2017 |
| Priority date | — |
| Expiry date | Nov 23, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH01J49/40
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A classifier and method for predicting or characterizing graft-versus-host disease in a patient after receiving a transplant of pluripotent hematopoietic stem cells or bone marrow. The classifier operates on mass-spectral data obtained from a blood-based sample of the patient and is configured as a combination of filtered mini-classifiers using a regularized combination method, such as logistic regression with extreme drop-out. The method also uses a “deep-MALDI” mass spectrometry technique in which the blood-based samples are subject to at least 100,000 laser shots in MALDI-TOF mass spectrometry in order to reveal greater spectral content and detect low abundance proteins circulating in serum associated with graft-versus-host disease.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.