Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...
The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...
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 ...
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 ...
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 ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
A comprehensive review of laser additive manufacturing (LAM) of metallic lattice structures demonstrates how advanced design strategies, processing control, and material innovations significantly ...
Opinion
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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
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