Prescriptions

An admittance-controlled amplified force tracking scheme for collaborative lumbar puncture surgical robot system.

BACKGROUND: The accurate sensing and display of the delicate needle-tissue interaction force to the operator is desirable for needle insertion procedures. It not only plays a significant role in the surgical treatment effect, but also has a great significance in improving surgical safety and reducing the incidence of complications. However, the direct detection of the interaction force between the...

Development and evaluation of design guidelines for cognitive ergonomics in human-robot collaborative assembly systems.

Industry 4.0 is the concept used to summarize the ongoing fourth industrial revolution, which is profoundly changing the manufacturing systems and business models all over the world. Collaborative robotics is one of the most promising technologies of Industry 4.0. Human-robot interaction and human-robot collaboration will be crucial for enhancing the operator's work conditions and production perfo...

GraphDPA: Predicting drug-pathway associations by graph convolutional networks.

Pathway-based drug discovery is a promising strategy for the discovery of drugs with low toxicity and side effects. However, identifying the associati...

A deep learning based multimodal interaction system for bed ridden and immobile hospital admitted patients: design, development and evaluation.

BACKGROUND: Hospital cabins are a part and parcel of the healthcare system. Most patients admitted in hospital cabins reside in bedridden and immobile...

GFINNs: GENERIC formalism informed neural networks for deterministic and stochastic dynamical systems.

We propose the GENERIC formalism informed neural networks (GFINNs) that obey the symmetric degeneracy conditions of the GENERIC formalism. GFINNs comp...

Drug-target interaction prediction using reliable negative samples and effective feature selection methods.

Machine learning-based approaches in the field of drug discovery have dramatically reduced the time and cost of the laboratory process of detecting po...

Exploring Low-Toxicity Chemical Space with Deep Learning for Molecular Generation.

Creating a wide range of new compounds that not only have ideal pharmacological properties but also easily pass long-term toxicity evaluation is still...

Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images.

Despite the progress made during the last two decades in the surgery and chemotherapy of ovarian cancer, more than 70 % of advanced patients are with ...

Systems Drug Discovery for Diffuse Large B Cell Lymphoma Based on Pathogenic Molecular Mechanism via Big Data Mining and Deep Learning Method.

Diffuse large B cell lymphoma (DLBCL) is an aggressive heterogeneous disease. The most common subtypes of DLBCL include germinal center b-cell (GCB) t...

Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification.

Image classification is a fundamental component in modern computer vision systems, where sparse representation-based classification has drawn a lot of...

Deep Learning-Based CT Imaging for the Diagnosis of Liver Tumor.

The objective of this research was to investigate the application value of deep learning-based computed tomography (CT) images in the diagnosis of liv...

Beyond automatic medical image segmentation-the spectrum between fully manual and fully automatic delineation.

Semi-automatic and fully automatic contouring tools have emerged as an alternative to fully manual segmentation to reduce time spent contouring and to...

Monitoring and Analysis of Youth Sports Physique by Intelligent Medical Robot Based on Cognitive Computing.

As a key part of promoting the physical health of the people and promoting social progress, sports has ushered in comprehensive vitality. More and mor...

A Novel Detection Refinement Technique for Accurate Identification of Burrows in Underwater Imagery.

With the evolution of the convolutional neural network (CNN), object detection in the underwater environment has gained a lot of attention. However, d...

Multi-type feature fusion based on graph neural network for drug-drug interaction prediction.

BACKGROUND: Drug-Drug interactions (DDIs) are a challenging problem in drug research. Drug combination therapy is an effective solution to treat disea...

MD-MLI: Prediction of miRNA-lncRNA Interaction by Using Multiple Features and Hierarchical Deep Learning.

Long non-coding RNA(lncRNA) can interact with microRNA(miRNA) and play an important role in inhibiting or activating the expression of target genes an...

A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images.

A clinically comparable Convolutional Neural Network framework-based technique for performing automated classification of cancer grades and tissue str...

Improving Recognition of Overlapping Activities with Less Interclass Variations in Smart Homes through Clustering-Based Classification.

The systems of sensing technology along with machine learning techniques provide a robust solution in a smart home due to which health monitoring, eld...

Construction of English and American Literature Corpus Based on Machine Learning Algorithm.

In China, the application of corpus in language teaching, especially in English and American literature teaching, is still in the preliminary research...

Droplets in underlying chemical communication recreate cell interaction behaviors.

The sensory-motor interaction is a hallmark of living systems. However, developing inanimate systems with "recognize and attack" abilities remains cha...