3 results about "Mineral density" patented technology

This invention discloses a dynamic image analysis and measurement method and system for cassiterite mineral particles, specifically relating to the field of industrial vision analysis technology. It addresses the problem that existing methods struggle to accurately distinguish particle motion states and separate motion trails in dynamic flow fields, leading to inaccurate segmentation, tracking, and parameter measurement. By acquiring continuous frame images and extracting flow velocity characteristics of the flow field region, the method determines cross-frame displacement trends based on the overlap of neighboring pixel grayscale distribution and flow velocity characteristics. It extracts the stability of candidate particle contour morphology and performs matching verification. For matched particles, it constructs a flow velocity field constraint range and obtains a motion vector field. Combining the motion vector amplitude corresponding to the cassiterite mineral density, it uses density clustering to distinguish cross-frame displacement from independent multi-particle motion. High-speed moving particles are selected, and inter-frame grayscale gradient difference is used to separate motion trails from the true contour. Based on the motion type and the true contour, it completes target segmentation, contour tracking, and parameter measurement, improving the accuracy of particle analysis under dynamic conditions.

This invention discloses a method and system for longitudinal bone mineral density prediction and high-risk window identification, belonging to the field of intelligent bone health assessment technology. Based on a large amount of localized population-based bone mineral density data assets, this invention preprocesses the data to construct a regionally adaptive dual-graph LSTM network for temporal bone mineral density prediction. It quantifies prediction uncertainty and generates confidence intervals using a Bayesian method, employs the PELT algorithm to detect bone mineral density evolution change points, and identifies the critical point of accelerated decline. By integrating prediction results, confidence intervals, and change point locations, a three-dimensional high-risk window is delineated, and personalized intervention plans are output, supporting multi-platform deployment. This invention solves the problems of inapplicability to traditional assessment standards, difficulty in capturing nonlinear changes, and insufficient prediction reliability, significantly improving the accuracy of bone mineral density prediction and the timeliness of clinical intervention. It is suitable for osteoporosis risk screening and primary healthcare management.

The present disclosure provides methods of treating patients having decreased bone mineral density, methods of identifying subjects having increased risk of developing decreased bone mineral density, methods of detecting human Zinc And Ring Finger 3 (ZNRF3) variant nucleic acid molecules and variant polypeptides, and ZNRF3 variant nucleic acid molecules and variant polypeptides.