Biodesix, Inc.
🏢 View company profile →50Patents
50Active
50Granted
56Portfolio score
Filing activity: Mar 31, 2006 → Sep 2, 2022 · 10 expiring within 5 years
Most-cited patents
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US7736905B2 | Method and system for determining whether a drug will be effective on a patient with a disease | Emerging Cross-Sectional Technologies | 47 | Active |
| US7879620B2 | Method and system for determining whether a drug will be effective on a patient with a disease | Emerging Cross-Sectional Technologies | 19 | Active |
| US7858389B2 | Selection of non-small-cell lung cancer patients for treatment with monoclonal antibody drugs targeting EGFR pathway | Emerging Cross-Sectional Technologies | 19 | Active |
| US7858390B2 | Selection of colorectal cancer patients for treatment with drugs targeting EGFR pathway | Emerging Cross-Sectional Technologies | 17 | Active |
| US7906342B2 | Monitoring treatment of cancer patients with drugs targeting EGFR pathway using mass spectrometry of patient samples | Emerging Cross-Sectional Technologies | 16 | Active |
| US9477906B2 | Classification generation method using combination of mini-classifiers with regularization and uses thereof | Electricity | 16 | Active |
| US7867775B2 | Selection of head and neck cancer patients for treatment with drugs targeting EGFR pathway | Emerging Cross-Sectional Technologies | 15 | Active |
| US8097469B2 | Method and system for determining whether a drug will be effective on a patient with a disease | Emerging Cross-Sectional Technologies | 14 | Active |
| US9279798B2 | Deep-MALDI TOF mass spectrometry of complex biological samples, e.g., serum, and uses thereof | Electricity | 11 | Active |
| US8718996B2 | Method for predicting whether a cancer patient will not benefit from platinum-based chemotherapy agents | Emerging Cross-Sectional Technologies | 11 | Active |
| US10489550B2 | Predictive test for aggressiveness or indolence of prostate cancer from mass spectrometry of blood-based sample | Electricity | 10 | Active |
| US8024282B2 | Method for reliable classification of samples in clinical diagnostics using an improved method of classification | Physics | 10 | Active |
| US8467988B1 | Method and system for validation of mass spectrometer machine performance | Electricity | 9 | Active |
| US8914238B2 | Method for predicting breast cancer patient response to endocrine therapy | Electricity | 7 | Active |
| US9563744B1 | Method of predicting development and severity of graft-versus-host disease | Electricity | 6 | Active |
| US8119418B2 | Monitoring treatment of colorectal cancer patients with drugs targeting EGFR pathway using mass spectrometry of patient samples | Emerging Cross-Sectional Technologies | 6 | Active |
| US8119417B2 | Monitoring treatment of head and neck cancer patients with drugs EGFR pathway using mass spectrometry of patient samples | Emerging Cross-Sectional Technologies | 6 | Active |
| US9824182B2 | Method and system for determining whether a drug will be effective on a patient with a disease | Emerging Cross-Sectional Technologies | 6 | Active |
| US9211314B2 | Treatment selection for lung cancer patients using mass spectrum of blood-based sample | Electricity | 5 | Active |
| US10007766B2 | Predictive test for melanoma patient benefit from antibody drug blocking ligand activation of the T-cell programmed cell death 1 (PD-1) checkpoint protein and classifier development methods | Physics | 5 | Active |
| US10217620B2 | Early detection of hepatocellular carcinoma in high risk populations using MALDI-TOF mass spectrometry | Emerging Cross-Sectional Technologies | 4 | Active |
| US8586379B2 | Monitoring treatment of colorectal cancer patients with drugs targeting EGFR pathway using mass spectrometry of patient samples | Emerging Cross-Sectional Technologies | 4 | Active |
| US10713590B2 | Bagged filtering method for selection and deselection of features for classification | Physics | 4 | Active |
| US9779204B2 | Predictive test for aggressiveness or indolence of prostate cancer from mass spectrometry of blood-based sample | Electricity | 4 | Active |
| US9254120B2 | Method for predicting breast cancer patient response to combination therapy | Electricity | 4 | Active |
Source: USPTO / EPO open patent data. Counts and citation impact are objective bibliographic measures.