Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition

A method of evaluating a risk of prostate cancer recurrence in a patient, the method comprising:

• evaluating a dataset for a patient with a model predictive of prostate cancer recurrence, wherein the model is based on at least the following features:
• seminal vesicle involvement, a measurement of androgen receptor (AR), and a morphometric measurement of epithelial nuclei derived from a tissue image,
• thereby evaluating the risk of prostate cancer recurrence in the patient.

A computer-readable medium comprising computer executable instructions recorded thereon for performing the method comprising:

• evaluating a dataset for a patient with a model predictive of prostate cancer recurrence to thereby evaluate the risk of prostate cancer recurrence in the patient, wherein the model is based on at least the following features:
• seminal vesicle involvement, a measurement of androgen receptor (AR), and a morphometric measurement of epithelial nuclei derived from a tissue image.

A method of evaluating a risk of clinical failure in a patient subsequent to the patient having a radical prostatectomy, the method comprising:

• evaluating a dataset for a patient with a model predictive of clinical failure post-prostatectomy, wherein the model is based on at least the following features:
• lymph node involvement, a morphometric measurement of cytoplasm derived from a tissue image, and a measurement of intensity of androgen receptor (AR) in epithelial cells,
• thereby evaluating the risk of clinical failure in the patient.

A computer-readable medium comprising computer executable instructions recorded thereon for performing the method comprising:

• evaluating a dataset for a patient with a model predictive of clinical failure post-prostatectomy to thereby evaluate the risk of clinical failure in the patient, wherein the model is based on at least the following features:
• lymph node involvement, a morphometric measurement of cytoplasm derived from a tissue image, and a measurement of intensity of androgen receptor (AR) in epithelial cells.

A method of evaluating a risk of occurrence of a medical condition in a patient, the method comprising:

• receiving a patient dataset for the patient;
• and
• evaluating the patient dataset with a model predictive of the medical condition to produce a value indicative of the risk of occurrence of the medical condition in the patient, wherein the model is based on one or more clinical feature(s), one or more molecular feature(s) generated based on computer analysis of one or more tissue images showing immunofluorescence (IF), and one or more computer-generated morphometric feature(s) generated from one or more tissue image(s).

A computer-readable medium comprising computer executable instructions recorded thereon for performing the method comprising:

• receiving a patient dataset for a patient;
• and
• evaluating the patient dataset with a model predictive of a medical condition to produce a value indicative of the risk of occurrence of the medical condition in the patient, wherein the model is based on one or more clinical feature(s), one or more molecular feature(s) generated based on computer analysis of one or more tissue images showing immunofluorescence (IF), and one or more computer-generated morphometric feature(s) generated from one or more tissue image(s).