Machine Learning Identifies Three ALS Progression Patterns
A new machine learning framework identifies three distinct progression patterns in ALS patients, offering a tool for earlier prognostic assessment ...
A new machine learning framework identifies three distinct progression patterns in ALS patients, offering a tool for earlier prognostic assessment ...
A retrospective cohort study found that an XGBoost machine learning model accurately predicted in-hospital mortality among postoperative neurosurgical intensive care ...
A study in the International Journal of Legal Medicine evaluates deep learning models for estimating dental age and classifying legal ...
A pilot study published in European Radiology Experimental demonstrates that radiomics-based machine learning models can differentiate ependymomas from other pediatric ...
A new machine learning model using routine blood tests predicts treatment failure in autoimmune hepatitis patients with greater accuracy than ...
A mixed-methods study conducted at four universities in Zhejiang Province, China, found that students' informal learning experiences in highly flexible ...
A viewpoint in the Journal of General Internal Medicine argues that modern clinical protocols have obscured the visibility of individual ...
A quasi-experimental study in Indonesia found that structured problem-based learning was associated with significantly greater improvements in communication, collaboration, and ...
Researchers Nabil Chabab and Mohammed Gabli have proposed a hybrid computational framework designed to address persistent operational challenges in emergency ...
Researchers developed a federated reinforcement learning algorithm that jointly optimizes task offloading and trajectory control in multi-UAV mobile edge computing ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine