Clinically significant antibiotic resistance has evolved against virtually every antibiotic
deployed. Yet the development of new classes of antibiotics has lagged far behind our growing …

Phenazines constitute a large group of nitrogen-containing heterocyclic compounds
produced by a diverse range of bacteria. Both natural and synthetic phenazine derivatives are …

The use of machine learning (ML) in healthcare raises numerous ethical concerns, especially
as models can amplify existing health inequities. Here, we outline ethical considerations …

The coronavirus disease 2019 (COVID-19) pandemic markedly changed human mobility
patterns, necessitating epidemiological models that can capture the effects of these changes in …

Distribution shifts—where the training distribution differs from the test distribution—can
substantially degrade the accuracy of machine learning (ML) systems deployed in the wild. …

Algorithms are now regularly used to decide whether defendants awaiting trial are too
dangerous to be released back into the community. In some cases, black defendants are …

We seek to learn models that we can interact with using high-level concepts: if the model
did not think there was a bone spur in the x-ray, would it still predict severe arthritis? State-of-the…

Pseudomonas fluorescens Pf-5 is a plant commensal bacterium that inhabits the rhizosphere
and produces secondary metabolites that suppress soilborne plant pathogens. The …

We provide here a comparative genome analysis of ten strains within the Pseudomonas
fluorescens group including seven new genomic sequences. These strains exhibit a diverse …

… Computing the value of the parameters at each iteration requires two steps: the expectation
step (E-step) and the maximization step (M-step). In the E-step, we derive an expression for …