Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data.

We consider the problem of clustering grouped data with possibly non-exchangeable groups whose dependencies can be characterized by a known directed acyclic graph. To allow the sharing of clusters among the non-exchangeable groups, we propose a Bayesian nonparametric approach, termed graphical Dirichlet process, that jointly models the dependent group-specific random measures by assuming each random measure to be distributed as a Dirichlet process whose concentration parameter and base probability measure depend on those of its parent groups. The resulting joint stochastic process respects the Markov property of the directed acyclic graph that links the groups.

Immunization but not natural infection of horses results in antibody activity against the S protein of Streptococcus equi subsp equi.

Objective: Evaluate the immunogenicity of a vaccine targeting the S protein (Ssee) of Streptococcus equi subsp equi and determine antibody activity against Ssee in horses with strangles.

Methods: The study was designed as a prospective experiment using 20 university-owned Quarter Horses and a cross-sectional serosurvey of 78 privately owned horses with strangles. Horses were immunized IM with 0 (n = 4), 200 (n = 8), or 400 (n = 8) μg of recombinant Ssee at weeks 0, 4, and 12.

The Effect of the Pre-Transplant Disease Status on the Outcome for Recipients of T-Cell Depleted Allogeneic Haematopoietic Stem Cell Transplants for Large B Cell Lymphomas.

Objectives: Deauville scores (DS) from PET/CT imaging are increasingly being used to direct response-adjusted treatment strategies in lymphoma, including large B cell lymphomas (LBCL). We aimed to investigate the outcome of allogeneic haematopoietic stem cell transplantation (alloHSCT) in LBCL and the role played by pre-transplant disease status, as determined by DS.

Methods: We performed a retrospective, observational study of adults treated with a T-cell depleted alloHSCT for de novo DLBCL or high-grade transformation.

Uterine Artery Embolization for Mixed Adenomyosis and Fibroids: Outcomes According to Initial Particle Sizes.

Purpose: To characterize the effect of embolic particle size on outcomes of uterine artery embolization (UAE) for mixed adenomyosis/fibroids.

Materials And Methods: A single-center retrospective database was compiled of all patients with mixed adenomyosis/fibroids who underwent UAE with particles (Embosphere, Merit, USA; Embozene, Varian, UK) from September 2015 to May 2022 (n=76, mean age: 46.7 ± 5.

Generating Biomedical Knowledge Graphs from Knowledge Bases, Registries, and Multiomic Data.

As large clinical and multiomics datasets and knowledge resources accumulate, they need to be transformed into computable and actionable information to support automated reasoning. These datasets range from laboratory experiment results to electronic health records (EHRs). Barriers to accessibility and sharing of such datasets include diversity of content, size and privacy.