BIOENGINEER

Machine learning model predicts early pregnancy loss after IVF using five routine clinical markers

A retrospective cohort study developed an XGBoost model using five routine clinical indicators to estimate early pregnancy ...

Machine learning helps track semiconductor defects under more realistic temperature conditions

All materials contain inherent defects. These are not always harmful, since they can be used to engineer and introduce ...
BIOENGINEER

Machine-Learning Model Targets Cystatin C Testing in Adults with Diabetes

A nine-predictor machine-learning model using routine laboratory data identified more than half of large negative eGFR ...
The American Journal of Managed Care

Machine Learning Models Flag Nonobese MASLD Using Routine Blood Tests

A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.
The American Journal of Managed Care

Machine Learning Has High Accuracy, Little Prospective Validation in MPNs

AI in myeloproliferative neoplasms can grade marrow fibrosis and predict survival, but authors say prospective, ...

What this machine-learning model with 65% accuracy says is coming next for the 10-year Treasury

HSBC says it’s designed a machine-learning model to predict the direction of the most important financial instrument in global markets.
Healio

AI model finds high-risk patients for cardiogenic shock 1.8 hours before hypotension onset

Using admission data, a machine learning model detected patients with acute coronary syndrome at high-risk for cardiogenic ...
techtarget

How engineers can build a machine learning model in 8 steps

Machine learning (ML) is a foundational technology for modern AI, transforming the operational landscape of contemporary businesses. ML technology uses data to find patterns, spot anomalies and make ...

Machine-learning models predict human health from microbiome data

Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...
Eos

Using Machine Learning Techniques for Polar Vortex Predictions

A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and accompanying frigid weather in North America and Europe.