AI Maps ICU Patients’ Hidden Physiological Journeys to Predict Deadly Decline
A new data-driven framework called STREAM models ICU patients as trajectories through a multidimensional physiological space, identifying state outliers whose ...
A new data-driven framework called STREAM models ICU patients as trajectories through a multidimensional physiological space, identifying state outliers whose ...
A new study applies Wasserstein distance and linear programming to benchmark ten São Paulo river basins against 23 European countries, ...
Researchers have developed CardamomOT, an optimal transport-based framework that jointly infers gene regulatory networks, reconstructs unobserved protein trajectories, and enables ...
A large-scale UK Biobank study shows that five leading machine learning variant annotation methods produce markedly different calibration, power, and ...
Researchers have developed CCOT, a condition-controlled optimal transport framework that predicts single-cell responses to drug perturbations, including to compounds never ...
A large-scale study finds that pretraining tabular self-supervised models on carefully selected subsets of 100 to 1000 unlabeled examples often ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine