| Services Patent applications |
| Patent application number | Title | Published |
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| 20120046878 | METHODS FOR ANALYZING HIGH DIMENSIONAL DATA FOR CLASSIFYING, DIAGNOSING, PROGNOSTICATING, AND/OR PREDICTING DISEASES AND OTHER BIOLOGICAL STATES - A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition. | 02-23-2012 |
| 20120016013 | ANTI-CANCER OLIGODEOXYNUCLEOTIDES - It is disclosed herein that suppressive OD Ns are of use for preventing or delaying the formation of a tumor, reducing the risk of developing a tumor, treating a tumor, preventing conversion of a benign to a malignant lesion, or preventing metastasis. In some embodiments, methods are disclosed herein for treating, preventing or reducing the risk of developing a tumor, such as esophageal, gastrointestinal, liver, lung, skin and colon tumors or a mesothelioma. Generally, the methods disclosed herein include selecting a subject for treatment and administering to the subject a therapeutically effective amount of one or more suppressive ODN. In some examples, additional agents can also be administered to the subject of interest. | 01-19-2012 |
| 20110195942 | METHOD OF MAKING AND USING 7ALPHA, 11BETA-DIMETHYL-17BETA-HYDROXYESTR-4-EN-3-ONE 17-UNDECANOATE - Methods of using 7α,11β-dimethyl-17β-hydroxy-4-estren-3 -one bucyclate (I) and 7α,11β-dimethyl-17β-hydroxyestr-4-en-3-one 17-undecanoate (II) | 08-11-2011 |
| 20110195090 | METHOD OF MAKING A VACCINE - The present invention provides a vaccine and method for making same which is effective to elicit a desired antibody against a target antigen comprising a primary immunogen and a secondary immunogen, wherein the primary immunogen is effective to elicit B cell receptors (BCRs) that are on the maturational pathway of the desired antibody and have an intermediate degree of somatic mutational diversity, and the secondary immunogen comprises an epitope of the desired target antibody and is effective to further diversify the BCRs sufficient to form mature BCRs having the identical or substantially identical sequence as the desired antibody. | 08-11-2011 |
| 20110052547 | RAPAMYCIN-RESISTANT T CELLS AND THERAPEUTIC USES THEREOF - Methods for generating highly enriched Th1/Tc1 and Th2/Tc2 functions are described. In particular, the generation of these functions are attained by the addition of an immune suppression drug, rapamycin or a rapamycin derivative compound. In addition to enhanced purity of T cell function, the T cells generated in rapamycin also express molecules that improve immune T cell function such as CD28 and CD62L. Such rapamycin generated functional T cell subsets may have application in the prevention or treatment of GVHD after allogeneic hematopoietic stem cell transplantation, the treatment of autoimmunity, or the therapy of infection or cancer. | 03-03-2011 |
| 20100221255 | APELIN PEPTIDES AND METHODS OF USE - The present disclosure concerns the use of biologically active apelin peptides and compositions that are processed from larger precursor proteins and further post-translationally modified to influence cell growth. Particular methods are useful for promoting cell growth, while others are particularly useful for inhibiting cell growth. | 09-02-2010 |
| 20100104510 | SELENOCYSTEINE MEDIATED HYBRID ANTIBODY MOLECULES - The invention provides methods and compositions employing hybrid molecules of a synthetic molecule and antibody or antibody fragment comprising a selenocysteine residue, wherein the synthetic molecule is covalently linked to the antibody or antibody fragment at the selenocysteine residue. The invention also provides a composition comprising a hybrid molecule as described above and a pharmaceutically acceptable carrier. The invention further provides for methods of making the hybrid molecules, and methods of using the hybrid molecule described above to inhibit cell surface receptor binding. | 04-29-2010 |
| 20100074491 | COMPUTER-AIDED CLASSIFICATION OF ANOMALIES IN ANATOMICAL STRUCTURES - Candidate anomalies in an anatomical structure are processed for classification. For example, false positives can be reduced by techniques related to the anomaly's neck, wall thickness associated with the anomaly, template matching performed for the anomaly, or some combination thereof. The various techniques can be combined for use in a classifier, which can determine whether the anomaly is of interest. For example, a computed tomography scan of a colon can be analyzed to determine whether a candidate anomaly is a polyp. The technologies can be applied to a variety of other scenarios involving other anatomical structures. | 03-25-2010 |
| 20090246829 | SEQUENCE ANALYSIS OF THE TETRAVALENT ROTAVIRUS VACCINE - Isolated nucleic acid molecules comprising a gene segment from a rhesus rotavirus (RRV) or from one of three rhesus:human reassortant viruses are disclosed, including isolated nucleic acid molecules having a sequence selected from the group consisting of: SEQ ID NO: 1-14, inclusive, and isolated nucleic acid molecules encoding a protein having a sequence selected from the group consisting of SEQ ID NO: 15-28, inclusive, as well as variants of the isolated nucleic acid molecules. | 10-01-2009 |
| 20090035766 | Methods for Analyzing High Dimension Data for Classifying, Diagnosing, Prognosticating, and/or Predicting Diseases and Other Biological States - A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition. | 02-05-2009 |
