This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...
Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...
The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...
Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...
ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Researchers have developed advanced mathematical models and hybrid machine learning tools that accurately predict how ...
A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients.
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