Publications by authors named "Trung-Hieu Tran"

Background: Multi-cancer early detection (MCED) through a single blood test significantly advances cancer diagnosis. However, most MCED tests rely on a single type of biomarkers, leading to limited sensitivity, particularly for early-stage cancers. We previously developed SPOT-MAS, a multimodal ctDNA-based assay analyzing methylation and fragmentomic profiles to detect five common cancers.

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Cancers lacking standard screening (LSS) options account for approximately 70% of cancer-related deaths due to late-stage diagnosis. Circulating tumor DNA (ctDNA) is a promising biomarker for multi-cancer early detection. We previously developed SPOT-MAS, a multimodal ctDNA-based assay analyzing methylation and fragmentomic profiles, effective in detecting common cancers (breast, colorectal, liver, lung and gastric).

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Article Synopsis
  • - The study explores the potential of cell-free DNA (cfDNA) assays for detecting early cancer signals and focuses on improving the identification of the tissue-of-origin (TOO) for these signals using a tumor-specific methylation atlas (TSMA).
  • - Researchers created the TSMA from whole-genome bisulfite sequencing data of five cancer types and found that while it effectively identifies tumor tissues, it struggles with cfDNA samples due to a higher presence of DNA from white blood cells.
  • - By utilizing a graph convolutional neural network model that combines TSMA deconvolution scores and methylation density features, the study achieved a 69% accuracy rate in identifying TOO from low-depth cfDNA samples in validation tests.
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  • - Landslides threaten lives and infrastructure in mountainous areas, and monitoring them in real-time can be challenging and costly due to harsh conditions.
  • - This study developed deep learning models to automatically detect landslide traces using Sentinel-2 satellite images, focusing on three U-shaped architectures: U-Net, U2-Net, and U-Net3+.
  • - The U-Net model with a 32 × 32 input size achieved a high detection accuracy of 97%, allowing for better monitoring of landslide risks and providing timely warnings to local communities about potential flash floods during wet seasons.
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Two new rearranged 2,3--tirucallane triterpenoids, meliadubins A () and B (), along with four known compounds, -, were isolated from the barks of Cav. Compound exhibited a significant inflammatory inhibition effect toward superoxide anion generation in human neutrophils (EC at 5.54 ± 0.

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Article Synopsis
  • The study introduces a new assay called SPOT-MAS that combines multiple analysis techniques to detect different types of cancer using circulating tumor DNA (ctDNA).
  • SPOT-MAS was tested on a large group of 738 patients with various cancers and 1550 healthy controls, successfully identifying cancers with a sensitivity of 72.4% and high specificity.
  • The assay performs well for early-stage cancers and shows promise for being more cost-effective compared to other ctDNA tests due to its lower sequencing depth requirements.
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The cognitive map is a concept first introduced by Edward Tolman in 1948 to describe the map of the environment stored in the brain. In this review, after a brief mention of the history of this concept, we explore the contributions of place cells and grid cells to the neural basis of the creation and storage of a spatial map. Finally, we discuss how this map is consolidated and stored in the brain.

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Bictegravir (BIC) is an integrase strand transfer inhibitor widely used in the treatment of HIV-1. Although its potency and safety have been demonstrated in older patients, pharmacokinetics (PK) data remain limited in this patient population. Ten male patients aged 50 years or older with suppressed HIV RNA on other antiretroviral regimens were switched to a single-tablet regimen of BIC, emtricitabine, and tenofovir alafenamide (BIC+FTC+TAF).

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The phytochemical constituents from the roots of were investigated by chromatographic isolation, and their chemical structures were characterized using the MS and NMR spectroscopic methods. A total of 10 compounds, including six triterpenoids, two flavonoids, and two phenolic compounds, were identified from the roots of . Out of the isolated compounds, eight showed inhibitory effects on NO production in lipopolysaccharide (LPS)-stimulated RAW 264.

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Ten compounds () were purified from the extract of lichens , and among these one new triterpenoid, cryptothecin A () was characterized through mass spectrometric and 2D NMR spectroscopic analyses. Some of the isolated compounds were assessed for their antimicrobial (, , and ) and cytotoxic activity (, , and ), but only weak inhibitory effects were observed.

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This paper presents a hardware efficient pixel-domain just-noticeable difference (JND) model and its hardware architecture implemented on an FPGA. This JND model architecture is further proposed to be part of a low complexity pixel-domain perceptual image coding architecture, which is based on downsampling and predictive coding. The downsampling is performed adaptively on the input image based on regions-of-interest (ROIs) identified by measuring the downsampling distortions against the visibility thresholds given by the JND model.

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Conducting poly(o-phenylenediamine) (POPD)/graphene oxide (GO) composites were prepared using a facile and efficient method involving the in-situ polymerization of OPD in the presence of GO in an aqueous medium. Copper sulfate was used as an oxidative initiator for the polymerization of OPD. Scanning electron microscopy and transmission electron microscopy images showed that POPD microfibrils were formed and distributed relatively uniformly with GO sheets in the obtained composites.

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