Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...
Aging of the brain is characterized by deleterious processes at various levels including cellular/molecular and ...
A significant Patent Trial and Appeal Board (PTAB) decision authored by the US Patent and Trademark Office (USPTO) leadership, including the new USPTO Director John A. Squires, signals the importance ...
Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding?
bDepartment of Gastroenterology, Tongji Institute of Digestive Disease, Tongji Hospital Affiliated to Tongji University, Medicine of Tongji University, Shanghai, China cCollege of Electronic and ...
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...
Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.
The final, formatted version of the article will be published soon. Objective:We developed interpretable machine learning(ML) models to predict the overall survival(OS) of esophageal cancer patients.
Results: In the training set, LightGBM, XGBoost, and RF demonstrated the best performance among all models, with ROC-AUCs of 0.9977, 0.9311, and 0.9847, respectively. These models exhibited minimal ...
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