Vaccine hesitancy threatens to erode one of medicine's greatest achievements. Recent measles outbreaks in Europe and the United States illustrate the consequences of declining confidence. At the centre lies misinformation, amplified through digital n...
OBJECTIVE: Identifying patients at high risk of mortality is crucial for emergency physicians to allocate hospital resources effectively, particularly in regions with limited medical services. This need becomes even more pressing during global health...
Proceedings of the National Academy of Sciences of the United States of America
Oct 24, 2025
Accurate forecasts of disease outbreaks are critical for effective public health responses, management of healthcare surge capacity, and communication of public risk. There are a growing number of powerful forecasting methods that fall into two broad...
Lateral flow immunoassay (LFA) remains one of the most widely used point-of-care testing (POCT) platforms for disease diagnosis, food safety assessment, and environmental monitoring. However, traditional LFAs typically require up to 30 min and offer ...
Rapid and accurate diagnosis of emerging inflammatory illnesses is challenging due to overlapping clinical features with existing conditions. We demonstrate an approach that integrates proteomic analysis with machine learning to identify diagnostic p...
This article explores the role of artificial intelligence (AI) in medicine and biology. Special attention is given to areas of biology such as genomics, proteomics, biotechnology, cell, and synthetic biology. In the field of medicine, the emphasis is...
Severe COVID-19 often progresses to critical illness, requiring accurate prognostic biomarkers. Lactate-to-albumin ratio (LAR) has been proposed as a novel indicator to estimate the likelihood of death. Using data from the MIMIC database, this retros...
Epidemiological data is often analyzed without fully accounting for the uncertainties that are key to understanding the nuances of the dataset. While traditional approaches like the SIR mathematical model provide valuable insights, our study aims to ...
Journal of chemical information and modeling
Oct 14, 2025
Pose prediction of ligands to proteins remains a central challenge of structure-based drug design. Although data leakage and generalizability concerns remain, data-driven methods for pose prediction (i.e., based on deep learning and diffusion) now ro...
BACKGROUND: Establishing risk factors associated with severity and prognosis in the early stages of the disease is important to identify patients who need specialized care. Creating new clinical tools to improve health decisions and outcomes in the p...
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