Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...
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Machine learning weather models are transforming climate forecasting across Africa
The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly urgent.Floods, heatwaves, droughts, and air pollution events are ...
For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Abstract: One of the most challenging tasks for neurologists is the early diagnosis of Alzheimer’s disease (AD). Early and accurate diagnosis of the mild cognitive impairment (MCI) stage can enhance ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Abstract: Motivation plays a significant role in shaping students’ educational outcomes. Understanding the factors that influence student motivation is crucial for enhancing academic performance and ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
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