Abstract: The present invention provides methods to improve upon prostate cancer screening, thereby saving lives and reducing morbidities of unwarranted biopsies and over-treatment. The methods use a systematic analysis of the growth rate of PSA from cancer and PSA variation and the way in which they might be used to distinguish high-risk cancers from no cancer. Approaches include Dynamic-Differential Strategy, Dynamic-Differential Analysis, and Dynamic Analysis.

Abstract: Methods, business methods, and systems are provided herein for integrated healthcare. As the amount of medical information increases rapidly, including information from multiple biomarkers, analysis and management of that information becomes more and more important to extract meaningful conclusions from the information. Statistical and computational methods are described herein that have been created for the methods and systems for integrated healthcare. For example, a computer system is described extracts significance over time of PSA and fPSA biomarker tests for prostate health.

Abstract: Methods and systems for delivering a probability that a subject has a medical condition are disclosed herein. The methods comprise calculating the probability of a medical condition using biomarker values and the rate of change of the biomarker values over time. In most embodiments, the methods comprise relations and calculations that require computer systems to execute the methods of the invention. Systems of the invention may include computer systems, as well as medical systems, such as biomarker assays and courses of medical action.

Abstract: The present invention provides methods to improve upon prostate cancer screening, thereby saving lives and reducing morbidities of unwarranted biopsies and over-treatment. The methods use a systematic analysis of the growth rate of PSA from cancer and PSA variation and the way in which they might be used to distinguish high-risk cancers from no cancer. Approaches include Dynamic-Differential Strategy, Dynamic-Differential Analysis, and Dynamic Analysis.