Abstract: A method of predicting bone or articular disease in a subject includes determining one or more micro-structural parameters, one or more macroanatomical parameters or biomechanical parameters of a joint in the subject and combining at least two of the parameters to predict the risk of bone or articular disease.

Abstract: The present invention relates to methods and devices for evaluating bone conditions based on images. In particular, devices, methods and algorithms are provided that allow for the accurate and reliable evaluation of bone structure from x-ray images.

Abstract: The present invention relates to methods and devices for evaluating bone conditions based on images. In particular, devices, methods and algorithms are provided that allow for the accurate and reliable evaluation of bone structure from x-ray images.

Abstract: This disclosure relates to methods and devices for analyzing x-ray images. Furthermore, bone condition of a subject can be evaluated by analyzing x-ray images of the subject's bone from a sliding region of interest (ROI), e.g., an ROI that is moved on a pixel-by-pixel basis on the image, and therapies can then be selected or devised for the subject.

Abstract: Described herein are methods for analyzing bone structure and/or bone density, methods for estimating fracture risk in a subject as well as methods for monitoring the efficacy of an agent on bone structure and/or bone density.

Abstract: Methods of diagnosing and preventing bone loss and/or enhancing bone formation are disclosed. The invention additionally provides methods of diagnosing a predisposition to bone loss. The methods mathematically combine the information provided by imaging tests with the information provided by biomarkers to provide an index value. The index value is used for diagnosis of bone diseases, and to assess the progress of treatment of bone diseases.

Abstract: A method of predicting bone or articular disease in a subject includes determining one or more micro-structural parameters, one or more macroanatomical parameters or biomechanical parameters of a joint in the subject and combining at least two of the parameters to predict the risk of bone or articular disease.

Abstract: The present invention relates to methods and devices for analyzing x-ray images. In particular, devices, methods and algorithms are provided that allow for the accurate and reliable evaluation of bone structure from x-ray images.

Abstract: A system and method for building and/or manipulating a centralized medical image quantitative information database aid in diagnosing diseases, identifying prevalence of diseases, and analyzing market penetration data and efficacy of different drugs. In one embodiment, the diseases are bone-related, such as osteoporosis and osteoarthritis. Subjects' medical images, personal and treatment information are obtained at information collection terminals, for example, at medical and/or dental facilities, and are transferred to a central database, either directly or through a system server. Quantitative information is derived from the medical images, and stored in a central database, associated with subjects' personal and treatment information. Authorized users, such as medical officials and/or pharmaceutical companies, can access the database, either directly or through the central server, to diagnose diseases and perform statistical analysis on the stored data.

Abstract: A method of classifying fracture risk for a patient is presented. The method includes determining a fracture index of the patient. Either a fracture classification or a non-fracture classification is assigned to the patient based, at least in part, on the fracture index. A confidence level of the assigned classification is determined.

Abstract: Described herein are methods for analyzing bone structure and/or bone density, methods for estimating fracture risk in a subject as well as methods for monitoring the efficacy of an agent on bone structure and/or bone density.

Abstract: Methods of predicting fracture risk of a patient include: obtaining an image of a bone of the patient; determining one or more bone structure parameters; predicting a fracture line with the bone structure parameter; predicting a fracture load at which a fracture will happen; estimating body habitus of the patient; calculating a peak impact force on the bone when the patient falls; and predicting a fracture risk by calculating the ratio between the peak impact force and the fracture load. Inventive methods also includes determining the effect of a candidate agent on any subject's risk of fracture.

Abstract: Described herein are methods for analyzing bone structure and/or bone density, methods for estimating fracture risk in a subject as well as methods for monitoring the efficacy of an agent on bone structure and/or bone density.

Abstract: Methods of diagnosing and preventing bone loss and/or enhancing bone formation are disclosed. The invention additionally provides methods of diagnosing a predisposition to bone loss. The methods mathematically combine the information provided by imaging tests with the information provided by biomarkers to provide an index value. The index value is used for diagnosis of bone diseases, and to assess the progress of treatment of bone diseases.

Abstract: A system and method for building and/or manipulating a centralized medical image quantitative information database aid in diagnosing diseases, identifying prevalence of diseases, and analyzing market penetration data and efficacy of different drugs. In one embodiment, the diseases are bone-related, such as osteoporosis and osteoarthritis. Subjects' medical images, personal and treatment information are obtained at information collection terminals, for example, at medical and/or dental facilities, and are transferred to a central database, either directly or through a system server. Quantitative information is derived from the medical images, and stored in a central database, associated with subjects' personal and treatment information. Authorized users, such as medical officials and/or pharmaceutical companies, can access the database, either directly or through the central server, to diagnose diseases and perform statistical analysis on the stored data.