Abstract: A method for motion correction of Magnetic Resonance (MR) images is provided. The method includes acquiring a k-space dataset for an object using an MR scanner, detecting or identifying corrupted k-space data from the acquired k-space dataset, extracting the corrupted k-space data from the acquired k-space dataset, recovering the corrupted k-space data, combining uncorrupted k-space data of the acquired k-space dataset with the recovered k-space data to form a full k-space dataset, and reconstructing an image for the object based on the full k-space dataset. A magnetic resonance imaging system for correcting corrupted k-space data of an entire k-space dataset is also provided.

Abstract: The present invention relates to methods for identifying an EoE endotype of a patient and treating the patient with one or more therapies targeted to the patient's disease endotype; and related methods for stratifying patients for clinical trials.

Abstract: Methods and apparatuses for applying tensile force to one or more tissue regions within a body. Illustratively, an implant ball including a spherical side wall is received within a tubular organ, and tensile sutures extend through the implant ball for applying a tensile force to facilitate elongation of the tubular organ.

Abstract: The present disclosure relates to a transfer cart suitable for use in association with an MR scanner. The transfer cart may include a transfer table assembly coupled to the support frame such that the transfer table assembly and the horizontal support structure portion of the support frame extend substantially perpendicularly from the vertical support structure of the support frame and in substantially parallel planes to each other. The transfer table assembly may be maintained at substantially the same vertical level of a scanning bore of an MR scanner. The transfer cart may include a frame designed to dock with the MR scanner.

Abstract: A method for k-space registration is provided. The method of k-space registration includes receiving a first partial k-space dataset for an object and a second partial k-space dataset for the object, selecting the first partial k-space dataset as a reference, selecting feature for estimating a transformation matrix for transforming k-space data, estimating a transformation matrix based on the feature of entire or part of the first partial k-space dataset and the feature of the second partial k-space dataset corresponding to the entire or part of the first partial k-space dataset, correcting the second partial k-space dataset based on the transformation matrix, and obtaining the corrected second partial k-space dataset. The present method is further used for partial Fourier reconstruction.

Abstract: A system for guiding a medical intervention is disclosed. The system employs a device guide that operates on the surface of a sphere that is centered on a selected target.

Abstract: Disclosed herein are methods for the treatment of an individual having an inflammatory bowel disease (“IBD”). The disclosed methods may include the detection of Oncostatin M (OSM) in a biological sample obtained from an individual having an IBD. The detection of OSM may be used to characterize the individual as a tumor necrosis factor (TNF) inhibitor (TNFi) responder or a TNFi non-responder for selection of appropriate treatment.

Abstract: Disclosed herein are methods for the in vitro differentiation of a precursor cell into definitive endoderm, which may further be differentiated into a human colonic organoid (HCO), via modulation of signaling pathways. Further disclosed are HCOs and methods of using HCOs, which may be used, for example, for the HCOs may be used to determine the efficacy and/or toxicity of a potential therapeutic agent for a disease selected from colitis, colon cancer, polyposis syndromes, and/or irritable bowel syndrome.

Abstract: Methods for alleviating symptoms in a Fragile X Syndrome (FXS) patient using adeno-associated viral (AAV) 9 viral particles encoding a wild-type human fragile X mental retardation 1 (FMR1) protein (human FMRP). Also provided herein are methods to determine suitable doses of AAV9 viral particles for a FXS patient to alleviate at least one symptom associated with FXS, as well as methods for monitoring treatment efficacy.

Abstract: The present invention relates to computer-based clinical decision support tools including, computer-implemented methods, computer systems, and computer program products for clinical decision support. These tools assist the clinician in identifying epilepsy patients who are candidates for surgery and utilize a combination of natural language processing, corpus linguistics, and machine learning techniques.

Abstract: A system and method for predicting risk of violence for an individual (primarily school violence, but not limited to school violence) performs the following steps: (a) receiving responses to questions from an individual; (b) extracting by a computerized annotator words or phrases from the questions and responses; (c) assigning by the annotator extracted word(s) or phrase(s) to at least one of a plurality of pre-defined categories; and (d) automatically identifying and scoring words or phrases that could be classified into the pre-defined categories by a trained machine-learning engine to produce a score reflecting relative risk of violence by the individual. The pre-defined categories include: expression of violent acts or thoughts of the individual; expression of negative feelings, thoughts or acts of others; expression of negative feelings, thoughts or acts of the individual; expression of family discord or tragedies; and expression of protective factors.

Abstract: Methods and compositions disclosed herein generally relate to methods of improving clinical and economic outcomes to address adverse effects related to anesthesia, analgesics, opioids, and inadequate pain relief. Embodiments of the invention relate to the association between genes, specific polymorphisms of genes, and non-genetic factors with inadequate pain relief and anesthesia-, analgesic, and/or opioid-related adverse effects. Embodiments of the invention can be used to determine and manage patient risk factors for development of adverse perioperative effects and can allow for personalized anesthesia and pain management for improvement of pain control and reduction of anesthesia-, analgesic-, and opioid-related adverse outcomes. These methods and compositions apply to non-surgical pain management with opioids.

Abstract: The disclosure relates to methods for pain management in the perioperative context, particularly through the use of the DNA methylation status of the human OPRM1 gene as a biomarker for increased susceptibility to perioperative pain, and related methods and compositions.

Abstract: Decellularized matrix microspheres comprising a polymeric material and a donor tissue are provided. Also disclosed are structures containing a plurality of decellularized matrix microspheres incorporating a first polymer and a donor tissue; and a second polymer, wherein the decellularized matrix microspheres and the second polymer are in the form of a filament. Methods of treating a tissue injury employing the matrix microspheres and structures described as well as their methods of manufacture are also provided.

Abstract: Embodiments provide a deep learning framework to accurately segment liver and spleen using a convolutional neural network with both short and long residual connections to extract their radiomic and deep features from multiparametric MRI. Embodiments will provide an “ensemble” deep learning model to quantify biopsy derived liver fibrosis stage and percentage using the integration of multiparametric MRI radiomic and deep features, MRE data, as well as routinely available clinical data. Embodiments will provide a deep learning model to quantify MRE-derived liver stiffness using multiparametric MRI, radiomic and deep features and routinely-available clinical data.

Abstract: The present disclosure provides methods method for alleviating liver injury using a Farnesoid X receptor (FXR) activator.

Abstract: A specialized computing environment that includes hardware and data security features to enable competitive organizations to co-analyze proprietary data without revealing the underlying proprietary data to unauthorized users. Proprietary data are stored in volatile memory, which may be automatically erased according to pre-stored criteria. The analysis is performed automatically by a processing unit without human intervention. Analytical results are sanitized (e.g., using data masking) to prevent the analytical result from being tracible to any particular data source. Sanitized analytical results are output without outputting the underlying proprietary data (except to users authorized to validate analytical results). The computing environment is enclosed within a secure enclosure (e.g.

Abstract: Embodiments provided herein relate to methods and compositions for treating mesothelioma and/or a small cell lung cancer that express midkine.

Abstract: The disclosure is directed to precision dosing regimens to achieve a target concentration of alemtuzumab in a subject of between about 0.15 ?g/mL-about 0.6 ?g/mL at day 0, or the day of a transplantation event involving allogeneic hematopoietic cells. The disclosure is also directed to methods of increasing the percentage of a patient population having a concentration of alemtuzumab of between about 0.15 ?g/mL-about 0.6 ?g/mL at day 0.

Abstract: The disclosure provides methods of modulating an immune response by inhibiting BFL1, and related methods for treating and preventing diseases and disorders characterized by inflammation, especially neutrophil induced inflammation.