A system and method for predicting, proposing and/or evaluating suitable medication dosing regimens for a specific individual as a function of individual-specific characteristics and observed responses of the specific individual. Mathematical models of observed patient responses are used in determining an initial dose. The system and method use the patient's observed response to the initial dose to refine the model for use to forecast expected responses to proposed dosing regimens more accurately for a specific patient. More specifically, the system and method uses Bayesian averaging, Bayesian updating and Bayesian forecasting techniques to develop patient-specific dosing regimens as a function of not only generic mathematical models and patient-specific characteristics accounted for in the models as covariate patient factors, but also observed patient-specific responses that are not accounted for within the models themselves, and that reflect variability that distinguishes the specific patient from the typical patient reflected by the model.
Please help me write a proper abstract based on the patent claims. CLAIM: 1-51. (canceled) 52. A method for providing a patient-specific dosing regimen for treatment with a medication, using a computerized medication dosing regimen recommendation system, the system comprising a processor, the method comprising: receiving data indicative of characteristics of a specific patient; accessing, using the processor, a memory; selecting, based on the received data, a first model stored in the memory, the first model being a mathematical model incorporating patient data; calculating, based on the selected first model, an initial dose of medication; outputting at least one dosing regimen, comprising the initial dose of medication; receiving data reflecting a response of the specific patient to the at least one dosing regimen; updating the selected first model, based on the received data reflecting the response of the specific patient; calculating, based on the updated first model, at least one updated dosing regimen to reach the treatment objective; and outputting the at least one updated dosing regimen. 53. The method of claim 52, wherein the method further comprises: receiving a signal indicative of a treatment objective for the specific patient, wherein the first model is periodically updated until the treatment objective is achieved. 54. The method of claim 53, wherein the memory includes a database, and wherein the memory is stored in the computerized medication dosing regimen recommendation system further comprises the memory and a database stored in the memory. 55. The method of claim 54, wherein the database stores the data indicative of characteristics of the specific patient, and wherein the processor connects to the memory through a bus. 56. The method of claim 53, wherein the step of selecting the first model comprises: comparing the received data indicative of the characteristics of the specific patient to patient characteristics associated with a plurality of models; selecting a model from the plurality of models with patient characteristics that match the received data indicative of the characteristics of the specific patient; and outputting the determined model. 57. The method of claim 53, wherein the treatment objective is a target profile representing a physiologic response of the specific patient to the at least one dosing regimen over time. 58. The method of claim 53, wherein the treatment objective comprises maintaining a measurement above a therapeutic threshold for a period of time. 59. The method of claim 58, wherein the treatment objective comprises maintaining the measurement below a second therapeutic threshold for the period of time. 60. The method of claim 58, wherein the therapeutic threshold is stored in the memory. 61. The method of claim 52, wherein the characteristics of the specific patient include at least one of: a body size indicator, gender, race, disease stage, disease status, prior therapy, concomitantly administered drugs, concomitant diseases, demographic information, and laboratory test result information. 62. The method of claim 52, wherein the received data reflecting the response includes at least one of: a drug concentration level, a blood pressure reading, and a hematocrit level. 63. The method of claim 52, wherein the computerized medication dosing regimen recommendation system comprises a microprocessor communicatively coupled to the memory. 64. The method of claim 63, wherein the computerized medication dosing regimen recommendation system includes a database stored in the memory, the database being accessible by the microprocessor and storing information indicative of dosing regimens associated with the medication. 65. The method of claim 52, wherein updating the first model comprises: adjusting the first model to fit the response data. 66. The method of claim 52, wherein the first model is one of: a pharmacokinetic (PK) model, a pharmacodynamic (PD) model, and an exposure/response model. 67. The method of claim 52, further comprising: receiving a signal indicative of a treatment objective; and forecasting a plurality of dosing regimens, wherein each dosing regimen of the plurality of dosing regimens reaches the treatment objective, wherein the at least one dosing regimen is selected from the plurality of dosing regimens. 68. The method of claim 65, further comprising: outputting a subset of the plurality of dosing regimens as updated dosing regimens. 69. The method of claim 52, wherein calculating the at least one updated dosing regimen comprises: forecasting a typical patient response for each of a first plurality of dosing regimens; and selecting at least one dosing regimen of the first plurality of dosing regimens according to predefined logic, wherein the predefined logic determines the selection of the at least one dosing regimen to find a minimum of a plurality of objective functions. 70. The method of claim 52, wherein calculating the at least one updated dosing regimen comprises: selecting, based on the characteristics of the specific patient and predefined logic, at least one dosing regimen corresponding to a minimum of an objective function. 71. A method of treatment with a medication, using a computerized medication dosing regimen recommendation system, the system comprising a processor, the method comprising: receiving a treatment objective for a specific patient; receiving data indicative of characteristics of the specific patient; accessing, using the processor, a memory; selecting, based on the data indicative of the characteristics of the specific patient, a first model stored in the memory; calculating, based on the selected first model, an initial dose of medication; outputting at least one dosing regimen, comprising the initial dose of medication; administering the at least one dosing regimen to the specific patient; receiving data reflecting a response of the specific patient to the at least one dosing regimen; updating the selected first model, based on the received data reflecting the response of the specific patient; calculating, based on the updated first model, at least one updated dosing regimen to reach the treatment objective; outputting the at least one updated dosing regimen; and administering the at least one updated dosing regimen, wherein the first model is periodically updated until the treatment objective is achieved.