BACKGROUND: Existing PICU early warning systems lack sufficient accuracy and timeliness for effective preparation. Machine learning approaches may improve prediction of critical deterioration events (CDEs), but their operational utility relative to e... read more
Cellular and molecular life sciences : CMLS
Apr 22, 2026
Hormone-dependent cancers such as prostate, breast, and endometrial carcinomas rely on nuclear hormone receptors to sustain lineage identity and growth. Therapies targeting androgen, estrogen, or progesterone signaling are initially effective but ult... read more
Electric load forecasting serves as a crucial decision-making foundation for the operation of power systems, offering important guidance for system scheduling optimization, cost reduction, and capacity planning. With the increasing penetration of new... read more
Convolutional Neural Networks are widely used in lung cancer detection for more than a decade. However, it suffers from preserving spatial relationships among features, leading to dead units in deeper layers. This is overcome by the capsule network (... read more
Developing reliable biomarkers capable of differentiating Parkinson's disease from other neurological conditions is crucial for both patient care and research. In this study, we leveraged recent advances in high-throughput proteomic technology and ma... read more
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