Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be used to predict regional outbreaks of avian flu in Europe.
Scientists at the University of Glasgow have harnessed a powerful supercomputer, normally used by astronomers and physicists ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...
The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...
Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, ...
Floods account for up to 40% of weather-related disasters worldwide, and their frequency has more than doubled since 2000, ...
A review of machine learning (ML) models developed to support the management of chronic lymphocytic leukemia (CLL) have demonstrated positive outcomes, including accurate diagnosis and improved work ...
Imagine a future where Artificial Intelligence (AI) can forecast medical conditions years before any symptoms appear. What ...