Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...
Abstract: Statistical Machine Translation (SMT), as part of an overall human-centered machine translation process, provides a significant opportunity for multilingual access to digital content, such ...
Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...
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