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Machine learning models can accurately predict which babies are at risk of being born with low birth weight, enabling earlier and more effective medical intervention.
Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...
Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To ...
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News-Medical.Net on MSNNew machine learning model brings transparency to risk prediction in medulloblastomaMedulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To ...
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
The increasing prevalence of myopia is a global health concern, with high myopia increasing the risk of vision damage. This ...
Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.
The new filter is made of Polylactic Acid and Bismuth Ferrite uses piezo-photocatalysis, which combines the principles of ...
A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...
An artificial intelligence (AI) model developed by Google DeepMind in London could help scientists to make sense of this ...
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Tech Xplore on MSNBilinear sequence regression model shows why AI excels at learning from word sequencesResearchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...
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