Abstract: An orthopaedic fixation assembly for prosthetic biologic attachment. The orthopaedic fixation assembly may include a main body with a longitudinally-extending stem having a proximal end, a distal end, and a cavity body. An anchor plug may be configured to be received within the stem cavity, and securable thereto via complementary mating surfaces. A spindle structure may be fixedly attached to the proximal end of the longitudinally-extending stem and protrude outwardly therefrom such that a portion of the structure extends externally beyond the resected cavity of the bone that may prevent rotational motion of the spindle. The spindle structure may have at least one compliant biasing member configured to apply a compressive force to the surrounding bone. A porous coating may be at the juncture between stem and spindle structure, on the spindle, and the splines and anti-rotation chocks, improving the initial stability of the implant and facilitating long-term bone ingrowth.

Abstract: An orthopaedic fixation assembly for prosthetic biologic attachment. The orthopaedic fixation assembly may include a main body with a longitudinally-extending stem having a proximal end, a distal end, and a cavity body. An anchor plug may be configured to be received within the stem cavity, and securable thereto via complementary mating surfaces. A spindle structure may be fixedly attached to the proximal end of the longitudinally-extending stem and protrude outwardly therefrom such that a portion of the structure extends externally beyond the resected cavity of the bone that may prevent rotational motion of the spindle. The spindle structure may have at least one compliant biasing member configured to apply a compressive force to the surrounding bone. A porous coating may be at the juncture between stem and spindle structure, on the spindle, and the splines and anti-rotation chocks, improving the initial stability of the implant and facilitating long-term bone ingrowth.

Abstract: The present disclosure describes methods and systems for predicting if a subject has an increased risk of having or developing one or more clinical outcomes, including prior to the detection of symptoms thereof and/or prior to onset of any detectable symptoms thereof. The present disclosure also describes a method of generating a model for predicting one or more clinical outcomes.

Abstract: An orthopaedic fixation assembly for prosthetic biologic attachment. The orthopaedic fixation assembly may include a main body with a longitudinally-extending stem having a proximal end, a distal end, and a cavity body. An anchor plug may be configured to be received within the stem cavity, and securable thereto via complementary mating surfaces. A spindle structure may be fixedly attached to the proximal end of the longitudinally-extending stem and protrude outwardly therefrom such that a portion of the structure extends externally beyond the resected cavity of the bone that may prevent rotational motion of the spindle. The spindle structure may have at least one compliant biasing member configured to apply a compressive force to the surrounding bone. A porous coating may be at the juncture between stem and spindle structure, on the spindle, and the splines and anti-rotation chocks, improving the initial stability of the implant and facilitating long-term bone ingrowth.

Abstract: An orthopaedic fixation assembly for prosthetic biologic attachment. The orthopaedic fixation assembly may include a main body with a longitudinally-extending stem having a proximal end, a distal end, and a cavity body. An anchor plug may be configured to be received within the stem cavity, and securable thereto via complementary mating surfaces. A spindle structure may be fixedly attached to the proximal end of the longitudinally-extending stem and protrude outwardly therefrom such that a portion of the structure extends externally beyond the resected cavity of the bone that may prevent rotational motion of the spindle. The spindle structure may have at least one compliant biasing member configured to apply a compressive force to the surrounding bone. A porous coating may be at the juncture between stem and spindle structure, on the spindle, and the splines and anti-rotation chocks, improving the initial stability of the implant and facilitating long-term bone ingrowth.

Abstract: An embodiment of the invention provides a method for determining a patient-specific probability of disease. The method collects clinical parameters from a plurality of patients to create a training database. A fully unsupervised Bayesian Belief Network model is created using data from the training database; and, the fully unsupervised Bayesian Belief Network is validated. Clinical parameters are collected from an individual patient; and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of the healing rate of an acute traumatic wound is output from the fully unsupervised Bayesian Belief Network model and sent to the graphical user interface for use by a clinician in pre-operative planning. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of the healing rate of an acute traumatic wound.

Abstract: An embodiment of the invention provides a method for determining a patient-specific probability of disease. The method collects clinical parameters from a plurality of patients to create a training database. A fully unsupervised Bayesian Belief Network model is created using data from the training database; and, the fully unsupervised Bayesian Belief Network is validated. Clinical parameters are collected from an individual patient; and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of the healing rate of an acute traumatic wound is output from the fully unsupervised Bayesian Belief Network model and sent to the graphical user interface for use by a clinician in pre-operative planning. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of the healing rate of an acute traumatic wound.

Abstract: An orthopaedic fixation assembly for prosthetic biologic attachment. The orthopaedic fixation assembly may include a main body with a longitudinally-extending stem having a proximal end, a distal end, and a cavity body. An anchor plug may be configured to be received within the stem cavity, and securable thereto via complementary mating surfaces. A spindle structure may be fixedly attached to the proximal end of the longitudinally-extending stem and protrude outwardly therefrom such that a portion of the structure extends externally beyond the resected cavity of the bone that may prevent rotational motion of the spindle. The spindle structure may have at least one compliant biasing member configured to apply a compressive force to the surrounding bone. A porous coating may be at the juncture between stem and spindle structure, on the spindle, and the splines and anti-rotation chocks, improving the initial stability of the implant and facilitating long-term bone ingrowth.

Abstract: A method for detecting and monitoring the progression of heterotopic ossification by Raman spectral analysis. Analysis of heterotopic ossification progress can be conducted using invasive or invasive means using specific Raman spectroscopy. Analysis is by determination of a number of Raman spectral parameters including the area under one or more of the vibrational bands, band area ratios, band height, ratios of band heights and shift in band center.

Abstract: A method for detecting and monitoring the progression of heterotopic ossification by Raman spectral analysis. Analysis of heterotopic ossification progress can be conducted using invasive or invasive means using specific Raman spectroscopy. Analysis is by determination of a number of Raman spectral parameters including the area under one or more of the vibrational bands, band area ratios, band height, ratios of band heights and shift in band center.

Abstract: An embodiment of the invention provides a method for determining a patient-specific probability of transplant glomerulopathy. The method collects clinical parameters from a plurality of patients to create a training database. A fully unsupervised Bayesian Belief Network model is created using data from the training database; and, the fully unsupervised Bayesian Belief Network is validated. Clinical parameters are collected from an individual patient; and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of transplant glomerulopathy is output from the fully unsupervised Bayesian Belief Network model and sent to the graphical user interface for use by a clinician in pre-operative planning. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of transplant glomerulopathy.

Abstract: An embodiment of the invention provides a method for determining a patient-specific probability of disease. The method collects clinical parameters from a plurality of patients to create a training database. A fully unsupervised Bayesian Belief Network model is created using data from the training database; and, the fully unsupervised Bayesian Belief Network is validated. Clinical parameters are collected from an individual patient; and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of disease is output from the fully unsupervised Bayesian Belief Network model and sent to the graphical user interface for use by a clinician in pre-operative planning. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of disease.

Abstract: An embodiment of the invention provides a method for determining a patient-specific probability of transplant glomerulopathy. The method collects clinical parameters from a plurality of patients to create a training database. A fully unsupervised Bayesian Belief Network model is created using data from the training database; and, the fully unsupervised Bayesian Belief Network is validated. Clinical parameters are collected from an individual patient; and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of transplant glomerulopathy is output from the fully unsupervised Bayesian Belief Network model and sent to the graphical user interface for use by a clinician in pre-operative planning. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of transplant glomerulopathy.

Abstract: An embodiment of the invention provides a method for determining a patient-specific probability of disease. The method collects clinical parameters from a plurality of patients to create a training database. A fully unsupervised Bayesian Belief Network model is created using data from the training database; and, the fully unsupervised Bayesian Belief Network is validated. Clinical parameters are collected from an individual patient; and, such clinical parameters are input into the fully unsupervised Bayesian Belief Network model via a graphical user interface. The patient-specific probability of the healing rate of an acute traumatic wound is output from the fully unsupervised Bayesian Belief Network model and sent to the graphical user interface for use by a clinician in pre-operative planning. The fully unsupervised Bayesian Belief Network model is updated using the clinical parameters from the individual patient and the patient-specific probability of the healing rate of an acute traumatic wound.