Abstract: The invention relates to a surgical device to be used in orthopaedic treatment. In particular, the present invention relates to a surgical system for minimally invasive treatment of a trigger finger.

Abstract: The present disclosure relates to novel PD-1 decoy variants, compositions, and methods to confer and/or increase immune responses mediated by cellular immunotherapy, such as by adoptively transferring tumor-specific genetically-modified subsets of lymphocytes.

Abstract: The invention relates to chimeric antigen receptors (CARs) targeting a cancer-associated antigen and their use for treatment of a tumor or cancer. In particular, the invention provides compositions and methods for treating diseases associated with the antigen NGcGM3. The invention also relates to CARs specific to NGcGM3, vectors encoding the same, and recombinant T cells comprising the CARs of the present invention. The invention also includes methods of administering a genetically modified T cell expressing a CAR that comprises an antigen binding domain that binds to NGcGM3.

Abstract: A method and a system automatically perform an image reconstruction of a biological object. The method includes acquiring at different time points t_i signal data for imaging the biological object and clustering a set of data in connection with the acquired signal data. The clustering includes constructing a matrix C, wherein an element Ci,j of the matrix C is the value n_j of one of the data of the dataset acquired at the time point t_i, and then performing a similarity clustering based on the matrix C. At least one of the clusters is selected and determining for each of the time points t_i that are part of the cluster all acquired signal data that have been acquired within a predefined temporal threshold with respect to the considered time point t_i. The image reconstruction of the biological object is performed with the previously determined acquired signal data.

Abstract: Provided herein are antibodies and antigen-binding portions thereof that bind to tumor endothelial marker 1 (TEM1), as well as methods of using the disclosed antibodies and antigen-binding portions thereof, including methods of treating cancer, reducing tumor growth, reducing tumor metastasis, and/or reducing tumor-associated fibrosis in a subject in need thereof.

Abstract: A tissue type fraction within a biological object is determined by a phase-cycled acquisition of several images of the object and deriving a complex signal profile for each voxel of the acquired images; generating a multidimensional dictionary of simulated signal profiles, wherein each simulated signal profile is configured for simulating the previously derived complex signal profile; using a weight optimization algorithm configured for expressing the complex signal profile as a weighted sum of the simulated signal profiles, wherein the weight optimization algorithm provides as output for each voxel a matrix M of optimized weights; for each voxel and each dimension of the obtained matrix M, extracting from the matrix M a distribution of the obtained optimized weights; and determining a type of tissue composing each voxel from the obtained distributions.

Abstract: A system and a method monitor a biological process. The method includes obtaining an abnormal tissue mask from an abnormal tissue segmentation of an image of an object containing tissue to be analyzed, the image being acquired at a time t0 being a reference time point. Other images of the object are registered onto the abnormal tissue mask, the other images being acquired at other time points. Image contrasts of the other images are normalized with respect to the contrasts of the image acquired at the reference time point. The normalized images are subtracted for each available contrast in order to obtain difference images. A joint difference image is created by summing the previously obtained difference images. A biological process progression map is created by overlapping the abnormal tissue mask obtained and the joint difference image after applying a pre-defined threshold.

Abstract: A method and system are provided for detecting a position of a periodically moving organ in a MRI examination. MR images of an examining person including a periodically moving organ are provided over a plurality of periodic cycles of the periodically moving organ. Based on the provided MR images, a pixel frequency is associated with each pixel of the MR images. Using the associated pixel frequencies and the positions of the pixels within the MR images, the position and the frequency of the periodically moving organ are determined.

Abstract: The disclosure relates to a method for the interactive acquisition of data from an object under investigation by a magnetic resonance system. The data is acquired from the object under investigation with the magnetic resonance system and images are automatically reconstructed and displayed in real time based on the data. A time interval is determined during which a predetermined condition is met in the images. Quality images are automatically reconstructed based on the data acquired within the time interval. The temporal resolution during reconstruction of the quality images is higher than the temporal resolution during reconstruction of the images.

Abstract: Provided herein are compounds (e.g., compounds of Formulae (I), (II), and (III)) which are anti-fungal agents and can be used in the treatment of diseases, including infectious diseases. The invention provides methods of treating diseases in a subject (e.g., infectious diseases such as fungal infections), and methods of killing or inhibiting the growth of fungi in or on a subject or biological sample. The compounds may be used in subjects, in clinical settings, or in agricultural settings.

Abstract: A system and method generate a synthetic image with switchable image contrast components for a biological object. The method includes: a) using first and second quantitative MRI acquisition techniques for measuring a value of first or second quantitative parameters Q1, Q2 for the biological object and generating first and second quantitative maps, the first and second quantitative MRI acquisition techniques generate first and second contrast-weighted images; b) using the first and second quantitative maps, and the first and second contrast weighted images as inputs in a model configured for generating a synthetic image M with arbitrary sequence parameters P1, P2, P3, according to: M=|Cif(Q1,Q2,P1,P2,P3)| wherein Ci with i=1, 2, are contrast components for the generation of the synthetic image M coming from respectively the first (i=1) and second (i=2) contrast-weighted images (i=1) and f is a function of Q1, Q2, P1, P2 and P3; and c) displaying the synthetic image M.

Abstract: Provided herein are compounds (e.g., compounds of Formulae (I), (II), and (III)) which are anti-fungal agents and can be used in the treatment of diseases, including infectious diseases. The invention provides methods of treating diseases in a subject (e.g., infectious diseases such as fungal infections), and methods of killing or inhibiting the growth of fungi in or on a subject or biological sample. The compounds may be used in subjects, in clinical settings, or in agricultural settings.

Abstract: This disclosure relates to binding agents with specificity for HIV and to methods for using the same to treat, pre-vent and/or ameliorate HIV infection and/or AIDS.

Abstract: There is described an artificial heart comprising a pump, the pump comprising a housing (10) defining a substantially spherical cavity and comprising four vascular connectors (15in, 15out, 15?in, 15?out), namely two inlet connectors (15in, 15?in) and two outlet connectors (15out, 15?out) to connect the pump to the pulmonary and systemic circulation. A rotatable disc (11) is mounted within the housing (10) and secured to rotate about a fixed axis (12). Two oscillating palettes (16a, 16b) are mounted to rotate about a mobile axis (17) movable within a plane perpendicular to the fixed axis (12), wherein said palettes (16a, 16b) are connected together and are arranged on both sides of the rotatable disc (11), in a diametrically opposed fashion, to create two pumping units comprising each two variable sized chambers (20a, 20b, 20c, 20d) in fluid communication with one corresponding inlet and outlet connector respectively.

Abstract: The present relates to a computer-implemented method for detecting and predicting cognitive pathologies of the brain based on a “Hold” and “Release” process. The invention also concerns a device related to the claims method.

Abstract: In order to reduce the time and effort required to generate high-quality image reconstructions, a machine-trained neural network may assign a quality score to an image at each iteration of a reconstruction. The neural network may confirm that the iterative reconstruction process increases image quality as each iteration converges to the solution of an optimization problem. The image quality score generated by the neural network may drive the reconstruction toward better image quality by contributing to a regularization term of a cost function minimized by the optimization problem. The neural network may allow for multiple reconstruction of image data to be performed rapidly and for the highest image quality reconstruction to be identified. Additionally, the neural network may provide exit criteria of the iterative reconstruction or may contribute to the optimization problem.

Abstract: The invention relates to methods promoting the aggregation of Salmonella bacteria in the gut of subjects, thereby providing immune exclusion and limiting bacterial entry, therefore reducing mucosal and systemic infection.

Abstract: The present invention relates to methods and compositions for the therapeutic and diagnostic use in the treatment of diseases and disorders which are caused by or associated with interleukin 26 (IL-26), including inflammatory diseases, such as psoriasis and/or bacterial infections.

Abstract: A system and method automatically predicts an evolution of a cognitive score for a subject by classifying a cognitive data set for the subject into a first or second class by determining the cognitive set of data for each subject of a group, acquiring for each subject a neuropsychological score used for classifying each subject in the first or second class, and training a two-class machine learning classification algorithm on the cognitive data sets of all subjects. For each subject, the cognitive data set is used as input of the algorithm and the obtained classification of the subject as output target of the algorithm. The algorithm classifies each cognitive data set in the first or second class. The evolution of the cognitive score of a subject is predicted by the trained algorithm for automatically classifying a new cognitive dataset for the subject into the first or second class.

Abstract: This disclosure relates to binding agents with specificity for HIV and to methods for using the same to treat, prevent and/or ameliorate HIV infection and/or AIDS.