A new study shows that combining machine learning with advanced material engineering can significantly improve the ...
A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...
The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...
Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...
The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Internal iliac and obturator lymph nodes are common sites of metastasis in rectal cancer. This study developed a machine learning (ML) model using clinical data to predict lymph node metastasis and ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
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