A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...
Melanoma is an aggressive skin cancer associated with a poor prognosis, making survival time a primary concern for patients. This study applies five machine learning models to predict survival rates ...
Predicting the properties of deep-sea sediments offers critical insights into past oceanic conditions, including sediment composition, stratigraphy, and geochemical signals. However, accurate ...
A machine learning study of 4,776 women found AI can predict physical, emotional, and social outcomes after breast cancer ...
A novel electronic health record-based prediction model successfully identified patients who were at the highest risk of developing type 2 diabetes up to 10 years later. Researchers presented the ...
Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial We trained and tested ML systems ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
7don MSN
Even weak ocean models can provide valuable information for environmental forecasts, study shows
Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...
Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...
A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
A machine learning model uses cloud type and cloud cover to predict rapid changes in surface solar irradiance, including short-term “ramp” events that affect grid stability. When tested across 15 ...
illustrating the comprehensive zero-shot benchmark of 19 universal machine learning interatomic potentials and the dominant impact of training data composition for surface energy prediction. A ...
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