A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.
Nagoya University scientists develop a machine learning tool to uncover how ALS progresses in patients and offer clues to ...
A quantum-inspired AI approach can analyze millions of molecular features from small datasets, improving predictions, ...
Pediatric hospital medicine is rapidly advancing with new research focusing on clinical management, quality improvement, health equity, and technology. This summary highlights the top articles from ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...
Digital twins have transformed the way companies assess, develop, and maintain their physical processes. Instead of inspecting and reporting regularly, they are now able to look at a live version of ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...
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