Improved understanding and management of COVID-19, a potentially life-threatening disease,
could greatly reduce the threat posed by its etiologic agent, SARS-CoV-2. Toward this end…

Person-to-person transmission of SARS-CoV-2 virus has triggered a global emergency
because of its potential to cause life-threatening Covid-19 disease. By comparison to …

In the version of this article initially published online, a statement of support was missing from
the Acknowledgements section. The correct ending of the fourth sentence of that section is …

Sibutramine is a centrally acting monoamine reuptake inhibitor prescribed as an appetite
suppressant in the management of obesity. Its effects are mostly attributable to serotonin and …

In recent years, statistical shape models, of which Active Appearance Models (AAMs) are a
subset have been increasingly applied to the automatic segmentation of medical images. …

In this paper, we present the application of canonical correlation analysis to investigate how
the shapes of different structures within the brain vary statistically relative to each other. …

Artificial Intelligence methods are powerful tools for biological image analysis and processing.
High-quality annotated images are key to training and developing new methods, but …

Regime-specific numerical solutions are valuable in studying the behaviour of reservoir
processes both for practical field management and for benchmarking the success of analytical …

We train a convolutional neural network (CNN) to classify the sex of mice from x-ray images
in order to develop a tool that can be used not only for quality control of high throughput …

… Kola Babalola … Babalola et al. [1] demonstrated that convolutional neural networks (CNNs)
trained on … Kola Babalola is a member of the IMPC supported by the United States National …