The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
In the past, when researchers modeled quadruped gaits — how four-legged organisms walk, run and move — gaits have been ...
Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...
Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...
Cohort builder in Tempus Lens: Querying a large oncology database with generative AI. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text ...
Computational simulations indicate that classical psychedelics could induce hallucinations by co-opting neural circuitry dedicated to sleep-dependent replay and consolidation, providing a theoretical ...
Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results