AI Framework Cleans Batch Noise From DNA Methylation Data to Sharpen Cancer Subtyping
Researchers have developed meth-SemiCancer2, a deep learning framework that combines domain adaptation and contrastive learning to correct batch effects in ...
Researchers have developed meth-SemiCancer2, a deep learning framework that combines domain adaptation and contrastive learning to correct batch effects in ...
Researchers in China have developed a content-guided attention network that restores color and detail in underwater images through efficient fusion ...
Researchers in South Dakota combined drone multispectral imagery with an attention-enhanced deep learning model to estimate wheat tiller density with ...
Researchers have developed a generative adversarial network framework called StegoAdv-GAN that hides extractable secret messages inside images while simultaneously generating ...
Researchers in India have developed TDE-RYOLO, a deep learning framework that combines image dehazing, a modified YOLOv9 detector, and Poisson-based ...
An internationally validated deep learning model trained on genomes from more than 47,000 people can distinguish ALS patients from controls ...
Researchers used a deep learning model to compress 38 senescence-linked blood proteins into a single SASP Score that predicts mortality, ...
A new review describes how pH-sensitive probes, HaloTag, fluorescent timers, and deep learning tools such as DeepFRAP and ImFCSNet are ...
Researchers have developed MDG-Net, a retinal vessel segmentation network that abandons traditional skip connections in favor of a multilevel decoder ...
A new parallel deep learning framework combining CNN and Transformer branches with thermodynamic regularization improves the prediction of mutation-induced protein ...
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© 2025 Scienmag - Science Magazine