Publications by authors named "Liyan Tang"

Glioma represents the most common primary cancer of the central nervous system in adults. Glycosylation is a prevalent post-translational modification that occurs in eukaryotic cells, leading to a wide array of modifications on proteins. We obtained the clinical information, bulk RNA-seq data, and single-cell RNA sequencing (scRNA-seq) from The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), Gene Expression Omnibus (GEO), and Repository of Molecular Brain Neoplasia Data (Rembrandt) databases.

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A human decision-maker benefits the most from an AI assistant that corrects for their biases. For problems such as generating interpretation of a radiology report given findings, a system predicting only highly likely outcomes may be less useful, where such outcomes are already obvious to the user. To alleviate biases in human decision-making, it is worth considering a broad differential diagnosis, going beyond the most likely options.

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Article Synopsis
  • - Recent advancements in large language models (LLMs), like GPT-3.5 and ChatGPT, have shown promise in performing well on tasks without needing extensive training, especially in medical evidence summarization across various clinical areas.
  • - This study evaluates these models through both automatic and human assessments and highlights that automatic metrics may not reliably reflect the actual quality of the summaries produced.
  • - Results indicate that LLMs can generate summaries that contain factual inaccuracies, make dubious or vague statements, and are particularly challenged when summarizing longer texts, raising concerns about the risk of misinformation in high-stakes medical settings.
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There are insufficient studies comparing the efficacy of aminolevulinic acid hydrochloride topical powder (ALA) photodynamic therapy (PDT) against Nocardia rubra cell wall skeleton (Nr-CWS) therapy in the treatment of cervical low-grade squamous intraepithelial lesion (LSIL) with human papillomavirus (HPV), especially for long-term efficacy. Patients with cervical LSIL and HPV infection were divided into 3 treatment groups based on their own choice. All patients had a follow-up test including HPV testing, cytology and colposcopy at 4 to 6 months and 12 months after the treatment.

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Article Synopsis
  • Recent advancements in large language models (LLMs) like GPT-3.5 and ChatGPT show promise in performing zero- and few-shot tasks, including medical evidence summarization in various clinical areas.
  • *Our research includes both automatic and human evaluations to assess summary quality, revealing that automated metrics don’t always reflect the true quality of the summaries.
  • *We identified specific errors in the models' outputs, such as generating factually inconsistent information and struggling with longer texts, which raises concerns about the potential for misinformation in high-stakes medical contexts.*
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This study was to conduct a meta-analysis to explore the impact of gross total resection (GTR) and subtotal resection (STR) on survival outcomes in glioma patients. Relevant studies were searched in multiple databases from the available date of inception through 30 December 2021. The weighted mean differences (WMDs), relative risks (RRs), or hazard ratios (HRs) with 95% confidence intervals (CIs) were used to access the effect of GTR versus STR treatments on the outcomes.

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Preserving genome stability is essential to prevent aging and cancer. Dietary restriction (DR) is the most reproducible non-pharmacological way to improve health and extend lifespan in various species. Whether DR helps to preserve genome stability and whether this effect is altered by experimental variables remain unclear.

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Generating a summary from findings has been recently explored (Zhang et al., 2018, 2020) in note types such as radiology reports that typically have short length. In this work, we focus on echocardiogram notes that is longer and more complex compared to previous note types.

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Background: Recently, several randomized controlled trials (RCTs) of stenting plus medical therapy versus medical therapy alone have been successfully conducted for the treatment of patients with symptomatic intracranial stenosis. This study aimed to evaluate differences between these two therapies in the risk of stroke and death.

Methods: MEDLINE, EMBASE, the Cochrane Library, and ClinicalTrials.

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Radiology report generation aims to produce computer-aided diagnoses to alleviate the workload of radiologists and has drawn increasing attention recently. However, previous deep learning methods tend to neglect the mutual influences between medical findings, which can be the bottleneck that limits the quality of generated reports. In this work, we propose to mine and represent the associations among medical findings in an informative knowledge graph and incorporate this prior knowledge with radiology report generation to help improve the quality of generated reports.

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Accurate identification of the presence, absence or possibility of relevant entities in clinical notes is important for healthcare professionals to quickly understand crucial clinical information. This introduces the task of assertion classification - to correctly identify the assertion status of an entity in the unstructured clinical notes. Recent rule-based and machine-learning approaches suffer from labor-intensive pattern engineering and severe class bias toward majority classes.

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Radiology reports are unstructured and contain the imaging findings and corresponding diagnoses transcribed by radiologists which include clinical facts and negated and/or uncertain statements. Extracting pathologic findings and diagnoses from radiology reports is important for quality control, population health, and monitoring of disease progress. Existing works, primarily rely either on rule-based systems or transformer-based pre-trained model fine-tuning, but could not take the factual and uncertain information into consideration, and therefore generate false positive outputs.

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Despite quantum electrodynamics (QED) being one of the most stringently tested theories underpinning modern physics, recent precision atomic spectroscopy measurements have uncovered several small discrepancies between experiment and theory. One particularly powerful experimental observable that tests QED independently of traditional energy level measurements is the "tune-out" frequency, where the dynamic polarizability vanishes and the atom does not interact with applied laser light. In this work, we measure the tune-out frequency for the 2 state of helium between transitions to the 2 and 3 manifolds and compare it with new theoretical QED calculations.

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Chest X-ray becomes one of the most common medical diagnoses due to its noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X-rays still have been manually performed by radiologists, which creates huge burnouts and delays. Traditionally, radiomics, as a subfield of radiology that can extract a large number of quantitative features from medical images, demonstrates its potential to facilitate medical imaging diagnosis before the deep learning era.

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The APSES protein family comprises a conserved class of fungus-specific transcriptional regulators. Some members have been identified in partial ascomycetes. In this study, the APSES protein StuA (AoStuA) of the nematode-trapping fungus Arthrobotrys oligospora was characterized.

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Objective: Age has been shown to be a crucial factor for the EEG and fMRI small-world networks during sleep. However, the characteristics of the age-related network based on the sleep ECG signal and how the network changes during different sleep stages are poorly understood. This study focuses on exploring the age-related scale-free and small-world network properties of the ECG signal from male subjects during distinct sleep stages, including the wakeful (W), light sleep (LS), deep sleep (DS) and rapid eye movement (REM) stages.

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Nonylphenol (NP) is an environmental chemical that affects apoptosis and male infertility. In our study, we found that a high concentration of NP could down-regulate the expression of microRNA-361-3p (miR-361-3p) in the murine GC-1 spermatogonia cell line and in vivo in murine spermatogonia. Additionally, one direct target of this miR, the 3' untranslated region of Killin (Klln) mRNA, was identified.

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Arthrobotrys oligospora is a typical nematode-trapping fungus. In this study, 37 transformants of A. oligospora were obtained by REMI (restriction enzyme mediated integration) method and phenotypic properties of nine transformants were analyzed.

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Brucella is Gram-negative intracellular bacterial pathogen that infects humans and animals and contributes to great economic losses in developing countries. Presently, live attenuated Brucella vaccines (Brucella melitensis M5-90) are the most effective means of brucellosis control and prevention in animals. However, these vaccines have several drawbacks, such as an inability to distinguish between a natural infection and immunization and an association with abortions in pregnant animals.

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Objectives: Implantable device leads could cause tricuspid regurgitation (TR) by interfering with leaflet motion. This study evaluated the feasibility of using three-dimensional transthoracic echocardiography (3DTTE) to identify lead-induced tricuspid regurgitation (LITR).

Methods: 3DTTE full-volume images of the right ventricle (RV) and zoomed images of the tricuspid valve were obtained in 207 patients with implanted devices, and the images were analyzed.

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We present the first measurement for helium atoms of the tune-out wavelength at which the atomic polarizability vanishes. We utilize a novel, highly sensitive technique for precisely measuring the effect of variations in the trapping potential of confined metastable (2^{3}S_{1}) helium atoms illuminated by a perturbing laser light field. The measured tune-out wavelength of 413.

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The patient complained of recurrent sore throat for 2 years, who was diagnosed parapharyngeal abscess or tonsillitis for four times during June 16, 2012 to April 16, 2013. Special physical examination: left or right lateral pharyngeal wall is slightly elevated. Routine blood test showed increasing white blood cells and neutrophils.

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The Dirac-Coulomb equation for the helium atom is studied under the restrictions of the Poet-Temkin model which replaces the 1/r12 interaction by the simplified 1/r> form. The effective reduction in the dimensionality made it possible to obtain binding energies for the singlet and triplet states in this model problem with a relative precision from 10(-8) to 10(-10). The energies for the singlet state were consistent with a previous configuration interaction calculation [H.

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It is important for experimental design to know the transition oscillator strengths in hydrogen molecular ions. In this work, for HD(+), HT(+), and DT(+), we calculate the ro-vibrational energies and oscillator strengths of dipole transitions between two ro-vibrational states with the vibrational quantum number ν = 0-5 and the total angular momentum L = 0-5. The oscillator strengths of HT(+) and DT(+) are presented as supplementary material.

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