Novel machine learning techniques can measure ocean’s oxygen loss more accurately
Using data from Argo floats and historic ship measurements, Georgia Tech researchers developed new machine learning techniques to better understand...
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Machine learning-based model for predicting the occurrence and mortality of nonpulmonary sepsis-associated ARDS
ARDS has consistently been a research hotspot in critical care medicine. The understanding of the pathogenesis of ARDS has deepened...
AI2BMD: A Quantum-Accurate Machine Learning Approach for Large-Scale Biomolecular Dynamics
Biomolecular dynamics simulations are crucial for life sciences, offering insights into molecular interactions. While classical molecular dynamics (MD) simulations are...
Research Revolutionizes Monte Carlo Methods with Machine Learning Approach
A research team that includes Nathan Kirk, applied mathematics senior research associate at Illinois Institute of Technology, has developed a...
Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES | BMC Public Health
Apovian CM, Obesity: definition, comorbidities, causes, and Burden. Am J Managed Care. 2016;22:s176–85.World Health Organization. Obesity and its root causes....
Benchmarking machine learning methods for synthetic lethality prediction in cancer
Benchmarking pipelineTo evaluate machine learning methods for predicting SL interactions, we selected 12 methods published in recent years, including three...
