Machine learning model predicts serious transplant complications months before symptoms appear

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
IEEE

Improving English Text Machine Translation Quality with Cutting-Edge Neural Network Systems

Abstract: The BERT-Integrated Layer-wise Coordinated Translation (BILCT) model introduces a novel approach to enhancing machine translation quality, leveraging deep contextual understanding from BERT ...
IEEE

A Clause-Based Data Augmentation Method for Low-Resource Neural Machine Translation

Abstract: Transformer-based neural machine translation (NMT) systems have achieved remarkable success with high-resource bilingual corpora. However, their performance deteriorates significantly in low ...
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

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 ...