Deprivation and ethnicity influenced COVID-19 outcomes, revealing health inequalities and vaccine effectiveness in the pandemic.

Deprivation and ethnicity influenced COVID-19 outcomes, revealing health inequalities and vaccine effectiveness in the pandemic.

Nature - This Perspective considers the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science.

Zoonotic pathogens very likely caused the last pandemic. Can we get better at halting them before the next one?

While deep learning has enabled tremendous progress on text and image datasets, its superiority on tabular data is not clear. We contribute extensive benchmarks of standard and novel deep learning met...

It is widely believed that natural image data exhibits low-dimensional structure despite the high dimensionality of conventional pixel representations. This idea underlies a common intuition for the r...

Tabular Prior-data Fitted Network, a tabular foundation model, provides accurate predictions on small data and outperforms all previous methods on datasets with up to 10,000 samples by a wide margin.

Child anthropometric deficits remain a major public health problem in Sub-Saharan Africa (SSA) and are a key target of the UN Sustainable Development Goals (SDGs). The SDGs recommend disaggregation of...

Intrinsic randomness is a critical source of uncertainty in infectious disease outbreaks. The authors show in a series of analytical results how this source of uncertainty can be better characterised.

Renewal equations are a popular approach used in modelling the number of new infections, i.e., incidence, in an outbreak. We develop a stochastic model of an outbreak based on a time-varying variant o...

The importation and subsequent establishment of novel pathogenic strains in a population is subject to a large degree of uncertainty due to the stocha…