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.
Browsing: Emerging Technologies
A novel COVID-19 symptom tracker app, which has already had over 3 million users, could help identify geographical hotspots and prevent future COVID-19 outbreaks.
2020: A molecular odyssey – could artificial intelligence bring in a new age of antibiotic drug discovery?
Using machine-learning, researchers have discovered a new antibiotic that is able to kill bacteria resistant to other antibiotics.
Precision medicine is an approach to patient care that aims for the right intervention, in the right patient, at the right time – but what impact could this have on the treatment of infectious diseases? We asked Mathias Pletz about this approach to treatment, the research he’s directing at his institute and what the challenges are in this field.
Crawford Kilian tells us about how he got into the world of flu blogging, or ‘Flublogia’ and what he’s learnt from his experiences with this world over the last 15 years.
Take a look behind the scenes of a recent Future Microbiology article, entitled ‘New insights of CRISPR technology in pathogenic fungi’, as we ask author Elvira Román (Complutense University of Madrid, Spain) about the advances CRISPR technology has already brought to this field and the potential it could hold in the future.
A study has evaluated de-identified data from wearable devices, discovering that this could improve real-time prediction of flu-like illnesses when compared with current surveillance methods.
Take a look at the research highlights of 2019 as we count down the top infectious disease stories from A to Z!
Researchers have developed a game theory approach and a machine learning algorithm to accurately identify antibiotic resistance genes in bacteria.
We spoke to Sally Roberts (University of Birmingham, UK) at the recent Microbiology Society Conference (8–11 April, Belfast, UK) about her lab’s models for studying HPV and the virus–host interactions that have been uncovered as a result of this.