According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.
Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...
India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled ...
Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...
A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...
Urinrinoghene Lauretta Omughelli, a Nigerian cloud infrastructure and artificial intelligence (AI) systems engineer, is ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
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