One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...
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Autobot platform uses machine learning to rapidly find best ways to make advanced materials
A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...
The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...
Building on previous data studying organoids derived from patients with neuropsychiatric disorders, this computational model can differentiate between signals ...
For the first time, lab-grown mini brains have revealed how neurons misfire in schizophrenia and bipolar disorder.
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
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