Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on ...
A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly ...
The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...
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Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...
Children’s social cognitive development emerges from the dynamic interplay of neural maturation, parental caregiving, and dyadic brain-to-brain synchrony.
Marten Transport shows Q3 weakness from inflation and overcapacity, efficient liquidity, dividend longevity and cheap ...
An artificial intelligence-based imaging analysis could serve as an aid in surgical planning for patients with kidney tumors.
Algorithmic trading evolved for decades, but Web3 turns it into something entirely new. See how in this op-ed.
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