Latest AI and machine learning research in public health for healthcare professionals.
We present TornadoNet, a comprehensive benchmark for automated street-level building damage assessme...
Leptospira is a highly diverse genus traditionally classified by serological assays into more than 3...
Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during ...
Background: Nontyphoidal Salmonella enterica (NTS) is a major public-health threat in the United Sta...
Large language models (LLMs) are increasingly used by the public to seek health information, yet the...
Mapping of T cell receptors (TCRs) to their cognate MHC-presented peptides (pMHC) is central for the...
Background Accurate diagnostic tools are needed in schistosomiasis elimination settings to determine...
Abstract Background Tuberculosis (TB) remains a major public health challenge in Nepal, with inciden...
The COVID-19 pandemic has presented severe challenges in understanding and predicting the spread of ...
The SARS-CoV-2 Delta variant (B.1.617.2), initially classified as a variant of concern due to its en...
Accurate identification of unknown pathogens is critical for medicine and public health, yet current...
We examine whether research systems reallocate scientific effort as health needs change. We assemble...
Heart failure with preserved ejection fraction (HFpEF) is an increasingly common cause of morbidity ...
Assessing the human infection potential of emerging coronaviruses remains a critical challenge for g...
Recent advances in diffusion models have enabled powerful image editing capabilities guided by natur...
ABSTRACT Objectives: To quantify patterns of preventable death in Australian coronial findings, meas...
Accurately characterising mosquito infection dynamics is essential for effective dengue prevention a...
Wastewater-based epidemiology provides a low-cost, scalable view of community infection dynamics, bu...
Childhood malnutrition remains a major public health concern in Nepal and other low-resource setting...
Motivation: Studying the three-dimensional (3D) structure of a genome, including chromatin loops and...
Motivation: Ribosome dynamics are vital in the process of protein expression. Current methods rely o...