93results about How to "Predict risk" patented technology

The present disclosure includes biomarkers, methods, devices, reagents, systems, and kits for the evaluation of risk of a caradiovascular (CV) Event within 5 years. In one aspect, the disclosure provides biomarkers that can be used alone or in various combinations to evaluate risk of a CV event within 5 years. In another aspect, methods are provided for evaluating risk of a CV event within 5 years in an individual, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 1. In a further aspect, methods are provided for evaluating the risk of a CV, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 2. In a further aspect, methods are provided for evaluating the risk of a CV event in an individual, generally within 5 years, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 3.

The disclosure relates to use of the HE4 / HE4a marker(s) together with one or more other markers to assess ovarian cancers in a patient.

The present disclosure includes biomarkers, methods, devices, reagents, systems, and kits for the evaluation of risk of a caradiovascular (CV) Event within 5 years. In one aspect, the disclosure provides biomarkers that can be used alone or in various combinations to evaluate risk of a CV event within 5 years. In another aspect, methods are provided for evaluating risk of a CV event within 5 years in an individual, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 1. In a further aspect, methods are provided for evaluating the risk of a CV, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 2. In a further aspect, methods are provided for evaluating the risk of a CV event in an individual, generally within 5 years, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 3.

As a measurement table (10), an object provided with a flat surface (11) having an area on which all wheels of a vehicle can be mounted at the same time and a front wheel mounting table (12) which is disposed in front of the flat surface (11) and is lifted by a step of a predetermined height is used, a wheel position detector (8) which is capable of detecting a front wheel position and a rear wheel position of a vehicle to be measured is provided, a computation processing device (3) is provided with anterior-posterior displacement calculation means, an inter-axle distance calculation means (21), a vehicle inclination calculation means (22), a front wheel axle load calculation means (23A), a rear wheel axle load calculation means (23B), an anterior-posterior gravity center position calculation means (24), a storage means (32), an anterior-posterior gravity center displacement calculation means (25), and a vehicle gravity center height position calculation means (26), and from a gravity center displacement which is calculated from anterior-posterior gravity center position information calculated on the flat surface (11) and anterior-posterior gravity center position information in the state in which front wheels are mounted on the front wheel mounting table (12) and a vehicle inclination which is calculated by the vehicle inclination calculation means (22), the position of the height of the center of gravity of the vehicle to be measured is calculated.

The subject disclosure presents systems and computer-implemented methods for providing reliable risk stratification for early-stage cancer patients by predicting a recurrence risk of the patient and to categorize the patient into a high or low risk group. A series of slides depicting serial sections of cancerous tissue are automatically analyzed by a digital pathology system, a score for the sections is calculated, and a Cox proportional hazards regression model is used to stratify the patient into a low or high risk group. The Cox proportional hazards regression model may be used to determine a whole-slide scoring algorithm based on training data comprising survival data for a plurality of patients and their respective tissue sections. The coefficients may differ based on different types of image analysis operations applied to either whole-tumor regions or specified regions within a slide.