Selective detection of HBV pre-genomic RNA in chronic hepatitis B patients using a novel RT-PCR assay.

In chronic hepatitis B (CHB) patients, quantification of HBV pgRNA in plasma has the potential to provide information on disease prognosis and liver injury or histopathology. However, current methods for detecting HBV pgRNA present technical difficulties due to the co-existence of HBV DNA in plasma samples. We have successfully established a novel one-step RT-PCR assay that allows selective quantification of HBV pgRNA.

Building a Vietnamese Dataset for Natural Language Inference Models.

Natural language inference models are essential resources for many natural language understanding applications. These models are possibly built by training or fine-tuning using deep neural network architectures for state-of-the-art results. That means high-quality annotated datasets are essential for building state-of-the-art models.

Building a Discourse-Argument Hybrid System for Vietnamese Why-Question Answering.

Recently, many deep learning models have archived high results in question answering task with overall F scores above 0.88 on SQuAD datasets. However, many of these models have quite low F scores on why-questions.

Establishment of Recombinase Polymerase Amplification assay for rapid and sensitive detection of Orientia tsutsugamushi in Southeast Asia.

Scrub typhus, caused by Orientia tsutsugamushi, is a common fever in parts of Southern and Southeast Asia. As delayed diagnosis of scrub typhus leads to inappropriate treatment and high mortality rates, of up to 70%, sensitive and rapid detection of O. tsutsugamushi is required for timely and appropriate treatment.