Southwest Research Institute

Daniel P Nicolella

Kase J Saylor

Todd L Bredbenner

Heather Shannon Hanson

Xingguo Cheng

Kwai S Chan

David R Chambers

Nitin Nitin

Donald R Poole

Mark J Libardoni

Travis D Eliason

A method of generating a digital twin and of using the digital twin to predict activity of an animate subject. The digital twin is generated from at least system model data and movement data. The digital twin can be activated to simulate a specified activity that the subject is performing or will perform. If desired, the subject can be instructed to perform the same activity while wearing at least one wearable sensor, which is applied to the digital twin. Using artificial intelligence techniques, the activity simulation predicts one or more physical outcomes from the activity.

Digital twin for predicting performance outcomes

A method of using a learning machine to provide a biomechanical data representation of a subject based on markerless video motion capture. The learning machine is trained with both markerless video and marker-based (or other worn body sensor) data, with the marker-based or body worn sensor data being used to generate a full biomechanical model, which is the 'ground truth' data. This ground truth data is combined with the markerless video data to generate a training dataset.

Markerless motion capture using machine learning and training with biomechanical data

A bone cement formulation comprising: (a) magnetic calcium phosphate nanoparticles present in an amount of 5.0-95 wt. % and having a largest linear dimension of 150 nm to 50 microns; (b) polymerizable acrylate monomer present in an amount of 5.0-95 wt. %; and (c) polyacrylate polymer present in an amount of 0-80 wt. % and having a largest linear dimension from 5.0 to 500 microns. Upon exposure to an alternating magnetic field the formulation is heated which results in polymerization of the acrylate monomer component. The formulation may also be polymerized via the use of chain polymerization initiators.

Bone cements containing magnetic calcium phosphate nanoparticles

The present disclosure relates to methods of facilitating bone growth. The method may include positioning a device around at least a portion of a bone exhibiting a defect, the device capable of retaining bone segments and micro-structured particles. The method may also include applying micro-structure particles within the device to the defect, wherein each of the micro-structure particles include at least one pore therein. In addition, the method may include aligning at least a portion of the micro-structure particles and applying a polymer to the particles and solidifying the polymer.

Micro-structure particles for load bearing bone growth

The present disclosure relates to a bone fracture risk assessment method and system. The method may include generating a volumetric model corresponding to a three-dimensional image of a bone structure for each bone structure in a set of bone structures. The method may further include defining a vector of variables for each bone structure. Each variable in the vector of variables may include a three-dimensional position of one of a number of volumetric vertices and at least one parameter associated with the one volumetric vertex. The method may include generating a set of individual vectors and performing variable reduction on the set of individual vectors. The method may further include determining a discriminator based at least in part on a result of the variable reduction.

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San Antonio, TX, United States of America

Daniel P Nicolella