Abstract: The diagnostic method of the present invention provides a method of diagnosing prostate cancer by measuring the concentration of prostate specific antigen and creatine kinase enzyme activity. A mathematical relationship between the two concentrations is then determined. If the prostate specific antigen concentration in the blood is normal or near normal and the creatine kinase enzyme value is lower than normal, than there is a high likelihood that the patient has prostate cancer. The present invention also includes the measurement of creatine kinase enzyme inhibitor in the serum of a patient to determine if the patient has a high likelihood of cancer.
Type:
Grant
Filed:
April 15, 1998
Date of Patent:
October 30, 2001
Assignee:
Horus Therapeutics, Inc.
Inventors:
Zhen Zhang, Stephen D. Barnhill, Ramananda Madyastha, Hong Zhang
Abstract: The simultaneous multi access reasoning technology system of the present invention utilizes both existing knowledge and implicit information that can be numerically extracted from training data to provide a method and apparatus for diagnosing disease and treating a patient. This technology further comprises a system for receiving patient data from another location, analyzing the data in a trained neural network, producing a diagnostic value, and optionally transmitting the diagnostic value to another location.
Abstract: The simultaneous multi access reasoning technology system of the present invention utilizes both existing knowledge and implicit information that can be numerically extracted from training data to provide a method and apparatus for diagnosing disease and treating a patient. This technology further comprises a system for receiving patient data from another location, analyzing the data in a trained neural network, producing a diagnostic value, and optionally transmitting the diagnostic value to another location.
Abstract: The simultaneous multi access reasoning technology system of the present invention utilizes both existing knowledge and implicit information that can be numerically extracted from training data to provide a method and apparatus for diagnosing disease and treating a patient. This technology further comprises a system for receiving patient data from another location, analyzing the data in a trained neural network, producing a diagnostic value, and optionally transmitting the diagnostic value to another location.