Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction

Automatically extracting the relationships between chemicals and diseases is significantly important to various areas of biomedical research and health care. Biomedical experts have built many large-scale knowledge bases (KBs) to advance the development of biomedical research. KBs contain huge amounts of structured information about entities and relationships, therefore plays a pivotal role in chemical-disease relation (CDR) extraction. However, previous researches pay less attention to the prior knowledge existing in KBs. This paper proposes a neural network-based attention model (NAM) for CDR extraction, which makes full use of context information in documents and prior knowledge in KBs. For a pair of entities in a document, an attention mechanism is employed to select important context words with respect to the relation representations learned from KBs. Experiments on the BioCreative V CDR dataset show that combining context and knowledge representations through the attention mechanism, could significantly improve the CDR extraction performance while achieve comparable results with state-of-the-art systems.Comment: Published on IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11 pages, 5 figure

Biodegradable double-network GelMA-ACNM hydrogel microneedles for transdermal drug delivery

As a minimally invasive drug delivery platform, microneedles (MNs) overcome many drawbacks of the conventional transdermal drug delivery systems, therefore are favorable in biomedical applications. Microneedles with a combined burst and sustained release profile and maintained therapeutic molecular bioactivity could further broaden its applications as therapeutics. Here, we developed a double-network microneedles (DN MNs) based on gelatin methacrylate and acellular neural matrix (GelMA-ACNM). ACNM could function as an early drug release matrix, whereas the addition of GelMA facilitates sustained drug release. In particular, the double-network microneedles comprising GelMA-ACNM hydrogel has distinctive biological features in maintaining drug activity to meet the needs of application in treating different diseases. In this study, we prepared the double-network microneedles and evaluated its morphology, mechanical properties, drug release properties and biocompatibility, which shows great potential for delivery of therapeutic molecules that needs different release profiles in transdermal treatment

A Low-Profile Dielectric Resonator Filter with Wide Stopband for High Integration on PCB

A low-profile dielectric resonator (DR) filter is proposed to achieve the feature of high integration and wide stopband. The high integration is due to the structure of printed circuit board (PCB) substrate instead of metal cavity, which can be easily integrated with other planar circuits. Thus, the proposed design can improve the integration level and reduce installation errors. Moreover, the out-of-band harmonics can be well suppressed by the structure combined with introducing rectangular hollowing in the center of the dielectric block, coupling the feed and loading 1/4λ wavelength branch. For demonstration, it is fabricated and measured. The simulated and experimental results with good agreement are presented, the insertion loss is as low as 1.1 dB, the profile height is only 0.77λg, and the stopband reaches 2.61f0

Squamous cell carcinoma antigen combined with HPV-16 infection in predicting high-grade squamous intraepithelial lesions of the cervix

An early screening of HPV and the Thinprep Cytology Test (TCT) can effectively prevent cervical cancer. However, patients with high-grade cervical intraepithelial neoplasia usually escape current screening methods and commonly develop cervical cancer. Hence, to identify effective and specific screening methods for high-grade cervical intraepithelial neoplasia is of vital necessity. In this study, 541 patients collected in Sun Yat-Sen hospital from January 2007 to December 2016 were selected. HPV genotype detection and SCC-ag detection were done in these patients. It was found that when serum SCC-ag level exceeded over 0.39 ng/ml in HPV-16 positive patients, the sensitivity and specificity of this novel approach to predict high-grade cervical intraepithelial neoplasia could reach to 83.1% and 62.1%, respectively. The result suggested that the combination of serum SCC-ag level and HPV-16 infection could be used as a novel approach for high-grade cervical intraepithelial neoplasia screening.Impact statement What is already known on this subject? Patients with a high-grade cervical intraepithelial neoplasia usually escape current screening methods. What do the results of this study add? When serum SCC-ag level exceeded over 0.39 ng/ml in HPV-16 positive patients, the sensitivity and specificity to predict high-grade cervical intraepithelial neoplasia could reach to 83.1 and 62.1%, respectively. What are the implications of these findings for clinical practice and/or further research? Combination of serum SCC-ag level and HPV-16 infection could be used to screen high-grade cervical intraepithelial neoplasia

Chimeric design of pyrrolysyl-tRNA synthetase/tRNA pairs and canonical synthetase/tRNA pairs for genetic code expansion

Orthogonal aminoacyl-tRNA synthetase/tRNA pairs are crucial for the incorporation of unnatural amino acids in a site-specific manner. Here the authors use rational chimera design to create multiple efficient pairs that function in bacterial and mammalian systems for genetic code expansion