Patent application number | Description | Published |
20080214928 | Method for Guiding Differential Diagnosis Through Information Maximization - A system and method for diagnosis and treatment decisions based on information maximization is disclosed. Utilizing patient information as well as clinical records from other patients can reduce the uncertainty in both diagnosis and treatment options. The information maximization may consider additional data such as risk, cost, and comfort in making a proper medical decision. | 09-04-2008 |
20080240425 | Data De-Identification By Obfuscation - Medical or other data is de-identified by obfuscation. Located instances are replaced. By replacing with values in a same format and level of generality, multiple possible identifications—the replacement values and the instances not located—are provided in the data, obfuscating the original identification. By replacing as a function of a probability, the resulting data set has different instances distributed in a way making identification of the actual or original instances not located by searching more difficult. | 10-02-2008 |
20080275731 | Patient data mining improvements - Improvements in mining information from patient records and/or use of such mined information are provided. The identity of the patient is used to link to patient records at different institutions for mining. The user controls one or more thresholds for mining and/or inferring. By providing a user interface that allows selection of a portion of the statistical summary, data supporting the statistics may be output. To assist in understanding the knowledge base used for mining or inferring, a visual representation is output. The mining may be used for diagnosis related groupings. | 11-06-2008 |
20080286273 | Knowledge-Based Proliferation Signatures and Methods of Use - The present invention provides methods and compositions for predicting patient responses to cancer treatment using a proliferation gene signature. These methods can comprise measuring in a biological sample from a patient the levels of gene expression of a group of the genes designated herein. The present invention also provides for microarrays that can detect expression from a group of genes. | 11-20-2008 |
20090006055 | Automated Reduction of Biomarkers - A list of biomarkers indicative of patient outcome is reduced. A computer program is applied to a set of biomarkers indicative of a patient outcome (e.g., prognosis, diagnosis, or treatment result). The computer program models the set of biomarkers with a subset of the biomarkers. The subset is identified without labeling based on the patient outcome. Instead, biomarker scores (e.g., sequence score) are used to identify the subset of biomarkers. | 01-01-2009 |
20090125334 | Method and System for Radiation Oncology Automatic Decision Support - A method for providing automatic decision support for the selection of a treatment protocol includes receiving information pertaining to the patient, the condition and the preferences partially or wholly by automatically parsing patient records. The information pertaining to the patient, the condition and the preferences may be partially or wholly ascertained by prompting a user for manual input of the desired data. The information is used to calculate one or more surrogate variables. A knowledge base including a plurality of treatment protocols is accessed and one or more of the plurality of treatment protocols are selected from the knowledge base based on the received information pertaining to the patient, the condition, and the preferences, the surrogate variables, and using a probabilistic framework. The selected treatment protocols are provided as treatment guidance. | 05-14-2009 |
20090130096 | Gene Signature of Early Hypoxia to Predict Patient Survival - The present invention provides methods and compositions for predicting patient responses to cancer treatment using hypoxia gene signatures. These methods can comprise measuring in a biological sample from a patient the levels of gene expression of a group of the genes designated herein. The present invention also provides for microarrays that can detect expression from a group of genes. | 05-21-2009 |
20090187522 | System and Method for Privacy Preserving Predictive Models for Lung Cancer Survival Analysis - A computer-implemented method for privacy-preserving data mining to determine cancer survival rates includes providing a random matrix B agreed to by a plurality of entities, wherein each entity i possesses a data matrix A | 07-23-2009 |
20090234628 | PREDICTION OF COMPLETE RESPONSE GIVEN TREATMENT DATA - A system for modeling complete response prediction is provided. The system includes an input that is operable to receive treatment information representing treatment data that may be used to predict a complete response of a tumor. The complete response may include a disappearance of all or substantially all of a disease. A processor may be operable to use a model to predict complete response of the tumor as a function of the treatment data. The model represents a probability of complete response to treatment given the treatment data. A display is operable to output an image as a function of the complete response prediction. | 09-17-2009 |
20100121178 | Systems and Methods for Automated Diagnosis and Decision Support for Breast Imaging - CAD (computer-aided diagnosis) systems and applications for breast imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated diagnosis of breast cancer other automated decision support functions that enable decision support for, e.g., screening and staging for breast cancer. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to “learn” to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow. | 05-13-2010 |
20100222646 | Patient Data Mining for Cardiology Screening - A system and method for screening for coronary heart disease is provided. The method includes the steps of retrieving a test for assessing risk of coronary heart disease, the test including a plurality of data fields relating to coronary risk factors; accessing a database to populate the data fields with information of an individual patient; and calculating a risk assessment of the individual patient developing coronary heart disease. A system includes a first database including a plurality of structured computerized patient records; a second database including a knowledge base relating to coronary heart disease, the second database including at least one test for determining coronary heart disease risk; and a processor for retrieving the at least one test from the second database, populating the at least one test with patient information retrieved from the first database and calculating a risk assessment for at least one patient. | 09-02-2010 |
20110059074 | Knowledge-Based Proliferation Signatures and Methods of Use - The present invention provides methods and compositions for predicting patient responses to cancer treatment using a proliferation gene signature. These methods can comprise measuring in a biological sample from a patient the levels of gene expression of a group of the genes designated herein. The present invention also provides for microarrays that can detect expression from a group of genes. | 03-10-2011 |
20110106749 | Personalized Prognosis Modeling in Medical Treatment Planning - Automated treatment planning is provided with individual specific consideration. One or more prognosis models indicate survivability as a function of patient specific information for a given dose. By determining survivability for a plurality of doses, the biological model represented by survivability as a function of dose is determined from the specific patient. Similarly, the chances of complications or side effects are determined. The chance of survivability and chance of complication are used as or instead of the tumor control probability and normal tissue complications probability, respectively. The desired tumor dosage and tolerance dosage are selected as a function of the patient specific dose distributions. The selected dosages are input to an inverse treatment planning system for establishing radiation treatment parameters. | 05-05-2011 |
20110286654 | Segmentation of Biological Image Data - Described herein are systems and methods for automated segmentation of image data. According to one aspect of the present technology, systems and methods are provided for detecting regions of interest within biological images. In particular, first and second images of first and second biological samples are received, wherein one or more routine stains have previously been applied to the first biological sample. A region of interest in the first image may be segmented to generate a boundary. The boundary may then be transferred to the second image to segment a corresponding region of interest in the second image. | 11-24-2011 |