Accurate identification of patients who achieve pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) is critical before surgery for guiding customized treatment regimens and assessing prognosis in breast cancer. However, ...

Chinese families usually place a strong emphasis on maintaining a sense of integrality even after the children have grown up. However, this might pose challenges in remote communication. For instance, over-frequent remote communication may disturb each ...

Predicting drug–disease associations can contribute to discovering new therapeutic potentials of drugs, and providing important association information for new drug research and development. Many existing drug–disease association prediction ...

• A drug–disease heterogeneous graph structure is constructed.
• Subgraphs of association pairs are extracted to distinguish background information.
• A model combining a graph convolution network and a graph attention network is built.

LncRNA(long non-coding RNA)-protein interaction (LPI) has effects on chromosome structure and gene transcription, participating in key cellular processes such as signal transduction, chromosome replication, material transport, and mitosis. ...

• Sequence and structural information of LncRNAs and proteins are extracted.
• Deep interaction fused features are obtained by BiLSTM and attention mechanism.
• An improved residual network is proposed to preserve long-distance ...

Accurate and automated segmentation of breast tumors in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays a critical role in computer-aided diagnosis and treatment of breast cancer. However, this task is challenging, due to ...

• Accurate, automated dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) breast tumor segmentation is crucial.
• A novel scheme named SwinHR for breast tumor segmentation, integrating hemodynamic-powered knowledge of DCE-MRI.

This article aims to optimize robotic actions for bone milling during laminectomy. The layer-by-layer spinal lamina milling operation during robot-assisted laminectomy is analyzed in detail to summarize related control tasks. A milling sound signal ...

Amyloid fibers formed by the aggregation of amyloid proteins can lead to various neurological diseases. Accurate prediction of amyloid proteins can provide scientific basis for exploring the pathogenesis of related neurological diseases, and ...

• Sequence composition, evolutionary, structural and physicochemical properties are extracted.
• Correlation-based Feature Selection is performed to remove redundancy features.
• A density-based minority over-sampling technique is ...

"Treatise on Febrile Diseases" is an important classic book in the academic history of Chinese material medica. Based on the knowledge map of traditional Chinese medicine established by the study of "Treatise on Febrile Diseases", a question-...

• A fusion of TinyBERT with CNN is proposed.
• The proposed TinyBERT-CNN compares against TinyBERT-BILSTM and other methods.
• A TinyBERT fused CNN model is constructed for the short text imbalance small datasets multi-category intent ...

Amyloid fibrils formed by the mis-aggregation of amyloid proteins can lead to neuronal degenerations in the Alzheimer's disease. Predicting amyloid proteins not only contributes to understanding physicochemical properties and formation mechanism ...

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• Sequence-derived features are used to incorporate sequence composition, evolutionary and structural information.
• The Correlation-based Feature Subset (CFS) selection method is performed to capture the optimal feature subset from the ...

In this paper, a computer vision-based technique is proposed to track the motion trajectories of athletes to improve sport performance and deliver reliable physical data analysis. The moving target in the video was obtained through the Universal ...

The intuitionistic uncertain linguistic information aggregation problems considering different priority levels of criteria are investigated. Firstly, we extended the prioritized averaging (PA) operator to intuitionistic uncertain linguistic environment, ...

As a non-coding RNA molecule with closed-loop structure, circular RNA (circRNA) is tissue-specific and cell-specific in expression pattern. It regulates disease development by modulating the expression of disease-related genes. ...

• A novel computational method based on Graph Neural Networks to predict the circRNA-disease associations.

• A dynamic two-stage SBM model with non-discretionary variables is proposed.
• ...

With the influence of climate changes resulting in more extremely days, we might expect to face a rise in associated coal productivity losses and land destruction. Numerous studies have focused on measuring the efficiency of coal ...

Recently, flow-based approaches have shown considerable success in interpolating video images. However, in contrast to video images, electron microscope (EM) images are further complex due to noise and severe deformation between ...

The diagnosis of thyroid nodules at an early stage is a challenging task. Manual diagnosis of thyroid nodules is labor-intensive and time-consuming. Meanwhile, due to the difference of instruments and technical personnel, the original thyroid nodule ...

High-resolution (HR) medical imaging data provide more anatomical details of human body, which facilitates early-stage disease diagnosis. But it is challenging to get clear HR medical images because of the limiting factors, such as imaging systems, ...

In recent years, global warming caused by the greenhouse effect has become one of the greatest threats to mankind. This will have a serious impact on the environment and human body, such as land desertification, increase in ocean acidity, sea level rise, ...

In the growing elderly population globally, patients with severe movement disorders account for a large proportion. Moreover, the development of intelligent service equipment can better assist them in their daily. This paper proposes a new service robot ...

The rapid development of artificial intelligence technology has provided artists with a new mode of thinking and a new creative medium in recent years. Although artificial intelligence does not yet have subjective characteristics such as consciousness, ...