Pathogen biogeography, the distribution of a disease within an area, can be studied using data-driven approaches in order to predict and prevent the spread of pathogens. In this article, Tim Sandle discusses the use of a machine learning model to predict infectious disease spread in a globalized world.
The Canadian population and all levels of its government are facing difficult times with the rapid spread of a novel coronavirus, COVID-19. This analysis demonstrates that the benefit of a short-term economic lockdown can outweigh the potential cost of massive contamination, especially if healthcare systems were to become overloaded.
As a result of the the pandemic we face, life-and-death choices will be made and often, artificial intelligence and machine learning can be used to make objective and informed recommendations. This editorial explores the challenges faced by healthcare systems, and how AI and machine learning can improve decision-making.
As the coronavirus surges across the globe, diagnostic testing comes into its own, as researchers unite to confront, delay and stop its spread. In the absence of either proven effective therapy or a vaccine, diagnostic testing becomes a valuable tool.
The media are uniquely placed to impact what the public think and feel. During outbreaks what challenges are facing journalists? Editor, Martha Powell, asks how we can ensure we’re undertaking reporting responsibly?
Dressings are long-established in the medical field for keeping wounds clean and preventing secondary infections. Here, Tim Sandle discusses technological advances with dressings for wound treatment and detection, including the incorporation of antimicrobials
This opinion piece looks at the impact a precision (or personalized) medicine approach could have in sepsis, including early and accurate microbiologic diagnosis, determining the host immune response signature and assessing individual response to treatment.