Air Sac Cystadenoma in a Pet Chicken.

A 2-yr-old female Brahma chicken was presented to the Poultry Mobile Clinic of the College of Veterinary Medicine at North Carolina State University with a 3-wk onset of a wet sneeze that progressed to wheezing with a whistle-type sound. Upon observation, a cyst was found above the left clavicle in the area around the crop. The bird was euthanatized due to the progressive and chronic nature of the symptoms.

AttentionPert: accurately modeling multiplexed genetic perturbations with multi-scale effects.

Motivation: Genetic perturbations (e.g. knockouts, variants) have laid the foundation for our understanding of many diseases, implicating pathogenic mechanisms and indicating therapeutic targets.

FTY720 requires vitamin B-TCN2-CD320 signaling in astrocytes to reduce disease in an animal model of multiple sclerosis.

Vitamin B (B) deficiency causes neurological manifestations resembling multiple sclerosis (MS); however, a molecular explanation for the similarity is unknown. FTY720 (fingolimod) is a sphingosine 1-phosphate (S1P) receptor modulator and sphingosine analog approved for MS therapy that can functionally antagonize S1P. Here, we report that FTY720 suppresses neuroinflammation by functionally and physically regulating the B pathways.

Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study.

Testing multiple treatments for heterogeneous (varying) effectiveness with respect to many underlying risk factors requires many pairwise tests; we would like to instead automatically discover and visualize patient archetypes and predictors of treatment effectiveness using multitask machine learning. In this paper, we present a method to estimate these heterogeneous treatment effects with an interpretable hierarchical framework that uses additive models to visualize expected treatment benefits as a function of patient factors (identifying personalized treatment benefits) and concurrent treatments (identifying combinatorial treatment benefits). This method achieves state-of-the-art predictive power for COVID-19 in-hospital mortality and interpretable identification of heterogeneous treatment benefits.