Abstract: The present invention features antibodies that bind to human neonatal Fc receptor (FcRn). These anti-FcRn antibodies are useful, e.g., to promote clearance of autoantibodies in a subject, to suppress antigen presentation in a subject, to block an immune response, e.g., block an immune complex-based activation of the immune response in a subject, and to treat immunological diseases (e.g., autoimmune diseases) in a subject. These anti-FcRn antibodies are also useful, e.g., to decrease pathogenic antibody transport across the placenta of a pregnant subject, to increase pathogenic antibody catabolismin a pregnant subject, and to treat an antibody-mediated enhancement of viral disease in a fetus or a neonate.

Abstract: The present invention features antibodies that bind to human neonatal Fc receptor (FcRn). These anti-FcRn antibodies are useful, e.g., to promote clearance of autoantibodies in a subject, to suppress antigen presentation in a subject, to block an immune response, e.g., block an immune complex-based activation of the immune response in a subject, and to treat immunological diseases (e.g., autoimmune diseases) in a subject. These anti-FcRn antibodies are also useful, e.g., to decrease pathogenic antibody transport across the placenta of a pregnant subject, to increase pathogenic antibody catabolism in a pregnant subject, and to treat an antibody-mediated enhancement of viral disease in a fetus or a neonate.

Abstract: The present invention features antibodies that bind to human neonatal Fc receptor (FcRn). These anti-FcRn antibodies are useful, e.g., to promote clearance of autoantibodies in a subject, to suppress antigen presentation in a subject, to block an immune response, e.g., block an immune complex-based activation of the immune response in a subject, and to treat immunological diseases (e.g., autoimmune diseases) in a subject. These anti-FcRn antibodies are also useful, e.g., to decrease pathogenic antibody transport across the placenta of a pregnant subject, to increase pathogenic antibody catabolism in a pregnant subject, and to treat an antibody-mediated enhancement of viral disease in a fetus or a neonate.

Abstract: Statistical artificial intelligence for advanced deep learning and probabilistic programming in the biosciences is provided. In various embodiments, biological data of a population is read. The biological data include molecular features of the population. A plurality of features of the population is extracted from the biological data. The plurality of features is provided to a first trained classifier to determine a subset of the plurality of features distinguishing the population. A plurality of genes associated with the subset of the plurality of features is determined. The plurality of genes is provided to a second trained classifier to determine a subset of the plurality of genes distinguishing the population. A dependence model is applied to the subset of the plurality of genes to determine one or more drug target.