SANTA CLARA, CA - October 30, 2025 - - The global demand for Explainable AI (XAI) is accelerating as organizations seek ...
A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds—those with high ...
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.