Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.

Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.

Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.

Abstract: The presently-disclosed subject matter provides methods for diagnosing a cardiovascular disease in a subject by determining an amount of one or more peptide biomarkers disclosed herein in a biological sample from the subject. The presently-disclosed subject matter further provides methods for determining treatment efficacy and/or progression of a cardiovascular disease in a subject by measuring amounts of one or more of the biomarkers in a biological sample from the subject. The presently-disclosed subject matter also provides antibodies and kits for measuring the biomarkers.

Abstract: A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.

Abstract: The presently-disclosed subject matter provides methods for diagnosing a cardiovascular disease in a subject by determining an amount of one or more peptide biomarkers disclosed herein in a biological sample from the subject. The presently-disclosed subject matter further provides methods for determining treatment efficacy and/or progression of a cardiovascular disease in a subject by measuring amounts of one or more of the biomarkers in a biological sample from the subject. The presently-disclosed subject matter also provides antibodies and kits for measuring the biomarkers.

Abstract: The presently-disclosed subject matter provides methods for diagnosing a cardiovascular disease in a subject by determining an amount of one or more peptide biomarkers disclosed herein in a biological sample from the subject. The presently-disclosed subject matter further provides methods for determining treatment efficacy and/or progression of a cardiovascular disease in a subject by measuring amounts of one or more of the biomarkers in a biological sample from the subject. The presently-disclosed subject matter also provides antibodies and kits for measuring the biomarkers.

Abstract: The presently-disclosed subject matter provides methods for diagnosing a cardiovascular disease in a subject by determining an amount of one or more peptide biomarkers disclosed herein in a biological sample from the subject. The presently-disclosed subject matter further provides methods for determining treatment efficacy and/or progression of a cardiovascular disease in a subject by measuring amounts of one or more of the biomarkers in a biological sample from the subject. The presently-disclosed subject matter also provides antibodies and kits for measuring the biomarkers.