Abstract: A spinal facet fusion implant comprising: an elongated body having a distal end, a proximal end and a longitudinal axis extending between the distal end and the proximal end, the elongated body being characterized by a superior body surface and an inferior body surface; a superior stabilizer extending outwardly from the superior body surface, the superior stabilizer being characterized by a superior stabilizer surface; and an inferior stabilizer extending outwardly from the inferior body surface, the inferior stabilizer being characterized by an inferior stabilizer surface; wherein (i) the superior body surface and the inferior body surface are tapered relative to one another, and/or (ii) the superior stabilizer surface and the inferior stabilizer surface are tapered relative to one another.

Abstract: A spinal facet fusion implant comprising: an elongated body having a distal end, a proximal end and a longitudinal axis extending between the distal end and the proximal end, the elongated body being characterized by a superior body surface and an inferior body surface; a superior stabilizer extending outwardly from the superior body surface, the superior stabilizer being characterized by a superior stabilizer surface; and an inferior stabilizer extending outwardly from the inferior body surface, the inferior stabilizer being characterized by an inferior stabilizer surface; wherein (i) the superior body surface and the inferior body surface are tapered relative to one another, and/or (ii) the superior stabilizer surface and the inferior stabilizer surface are tapered relative to one another.

Abstract: Described herein are methods and computer systems for classification of CD8 T-cell topology using a patient response-based linear cutoff model. A plurality of histology images of tissue samples in a plurality of patients are received by a computer system. An image analysis of the plurality of histology images is performed to obtain a CD8+ T-cell abundance in the tumor parenchyma and stroma in each of the plurality of histology images. Real inflammation scores and tumor infiltration scores are determined based on a polar coordinate transformation of the CD8+ T-cell abundance in the tumor parenchyma and stroma. Based on the real inflammation scores and tumor infiltration scores, a feature space is generated, and linear boundaries or linear cutoffs between a plurality of classifications in the feature space are identified based on the real inflammation scores, the tumor infiltration scores, and patient response data.

Abstract: A method includes receiving an input histology image, processing, using a cell classification model, the input histology image to generate one or more lymphocyte density maps within the input histology image, and performing morphological image processing on the one or more lymphocyte density maps to identify one or more TLS regions within the input histology image. Each TLS region is represented by a respective cluster of lymphocyte cells. For each corresponding TLS region of the one or more TLS regions identified in the input histology image, the method also includes extracting, from the respective cluster of lymphocyte cells, a respective set of TLS features, and processing, using a TLS classification model, the respective set of TLS features to classify the corresponding TLS region as one of a first TLS maturation state, a second TLS maturation state, or a third TLS maturation state.

Abstract: Described herein are methods and computer systems for classification of CD8 T-cell topology using artificial intelligence and machine learning. A plurality of histology images of tissue samples in a plurality of patients are received by a computer system. An image analysis of the plurality of histology images is performed to obtain a CD8+ T-cell abundance in the tumor parenchyma and stroma in each of the plurality of histology images. A machine learning algorithm is then trained using results of the image analysis and the CD8+ T-cell abundance in the tumor parenchyma and stroma. Based on the training, a machine learning feature space comprising a plurality of classifications is generated, and boundaries between the plurality of classifications in the machine learning feature space are identified.

Abstract: The present disclosure provides methods of identifying a subject suitable for an anti-PD-?PD-L1 antagonist therapy comprising measuring assay CD8 localization and PD-L1 expression in a tumor sample obtained from the subject. In some aspects, method further comprises administering (i) an anti-PD-?PD-L1 antagonist therapy or (ii) an anti-PD-?PD-L1 antagonist and anti-CT-LA-4 antagonist combination therapy to a subject identified as having a tumor exhibiting an excluded CD8 localization phenotype, wherein the tumor is PD-L1 negative.

Abstract: A spinal facet fusion implant comprising: an elongated body having a distal end, a proximal end and a longitudinal axis extending between the distal end and the proximal end, the elongated body being characterized by a superior body surface and an inferior body surface; a superior stabilizer extending outwardly from the superior body surface, the superior stabilizer being characterized by a superior stabilizer surface; and an inferior stabilizer extending outwardly from the inferior body surface, the inferior stabilizer being characterized by an inferior stabilizer surface; wherein (i) the superior body surface and the inferior body surface are tapered relative to one another, and/or (ii) the superior stabilizer surface and the inferior stabilizer surface are tapered relative to one another.

Abstract: A spinal facet fusion implant comprising: an elongated body having a distal end, a proximal end and a longitudinal axis extending between the distal end and the proximal end, the elongated body being characterized by a superior body surface and an inferior body surface; a superior stabilizer extending outwardly from the superior body surface, the superior stabilizer being characterized by a superior stabilizer surface; and an inferior stabilizer extending outwardly from the inferior body surface, the inferior stabilizer being characterized by an inferior stabilizer surface; wherein (i) the superior body surface and the inferior body surface are tapered relative to one another, and/or (ii) the superior stabilizer surface and the inferior stabilizer surface are tapered relative to one another.

Abstract: A spinal facet fusion implant comprising: an elongated body having a distal end, a proximal end and a longitudinal axis extending between the distal end and the proximal end, the elongated body being characterized by a superior body surface and an inferior body surface; a superior stabilizer extending outwardly from the superior body surface, the superior stabilizer being characterized by a superior stabilizer surface; and an inferior stabilizer extending outwardly from the inferior body surface, the inferior stabilizer being characterized by an inferior stabilizer surface; wherein (i) the superior body surface and the inferior body surface are tapered relative to one another, and/or (ii) the superior stabilizer surface and the inferior stabilizer surface are tapered relative to one another.

Abstract: Embodiments of the disclosure provide a device and system for dynamic spinal stabilization. A collar has an opening for connection to a bone fastener implanted in bony tissue and a slot for receiving a portion of an elongated member. When the elongated member is seated in the slot and a closure member is securely connected to the collar, the collar is capable of selected rotation about the bone fastener to provide dampened motion of the stabilization system.

Abstract: The disclosure describes embodiments of systems and methods for surgical illumination, particularly for spinal procedures. Embodiments of the system comprise a surgical port that acts as an optical guide to guide light from an illumination conduit to an illuminator section. The illuminator section can be configured to direct light into a passage to illuminate a target area.

Abstract: A modular orthopedic hip prosthesis having three main components: a stem, a proximal body, and a neck. The components are removably connectable and selectively adjustable. The neck is rotationally adjustable about the stem, and the proximal body is both rotationally and axially adjustable about the stem. A collet and locking member hold and lock the proximal body to the stem.

Abstract: The present invention relates to a method of determining the presence of a retinoblastoma protein (Rb)-mediated cancerous or pre-cancerous condition in a sample of fixed cells that involves exposing the sample to an antibody that recognizes phosphorylation of serine on the retinoblastoma protein (pS-Rb), and identifying cells in the sample that are recognized by the anti-O body to pS-Rb, where the recognition of pS-Rb in the sample determines the presence of an Rb-mediated cancerous or pre-cancerous condition. The method also involves identifying the presence of specific cell cycle markers and positive and negative cell cycle regulators to assess the stage of disease progression in a cancer patient having an (Rb)-mediated cancer. The present invention also relates to methods of assessing the efficacy of cancer therapy for an Rb-mediated cancer, determining the mechanism of cell cycle progression in an Rb-mediated cancer, and identifying cells predisposed to developing an Rb-mediated cancerous condition.

Abstract: A modular orthopedic hip prosthesis having three main components: a stem, a proximal body, and a neck. The components are removeably connectable and selectively adjustable. The neck is rotationally adjustable about the stem, and the proximal body is both rotationally and axially adjustable about the stem. A collet and locking member hold and lock the proximal body to the stem.