Publications by authors named "Poon H"

Importance: Domiciliary noninvasive ventilation (NIV) is a standard treatment for improving health outcomes among patients with chronic hypercapnic respiratory failure (CHRF). However, poor adherence substantially limits its therapeutic effectiveness.

Objective: To determine the effect of an information-motivation-behavioral (IMB) skills-based intervention (IMB-NIV program) on NIV adherence, patient-reported health outcomes, and health service use among patients with CHRF.

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  • Biomedical image analysis is crucial for biomedical research, and traditional methods treat tasks like segmentation, detection, and recognition separately.
  • BiomedParse is introduced as a foundation model that can handle these tasks simultaneously across nine imaging modalities, enhancing accuracy and enabling new applications like object segmentation based on textual descriptions.
  • The model was trained on a vast dataset of over 6 million image-text pairs, demonstrating superior performance in image segmentation, especially for irregularly shaped objects, making it a comprehensive tool for biomedical image analysis.
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Purpose: Precision therapies and immunotherapies have revolutionized cancer care, with novel genomic biomarker-associated therapies being introduced into clinical practice rapidly, resulting in notable gains in patient survival. Despite this, there is significant variability in the utilization of tumor molecular profiling that spans the timing of test ordering, comprehensiveness of gene panels, and clinical decision support through therapy and trial recommendations.

Methods: To standardize testing, we designed a pathologist-directed test ordering system at the time of diagnosis using a 523-gene DNA/RNA hybrid comprehensive genomic profiling (CGP) panel and extensive clinical decision support tools.

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Digital pathology poses unique computational challenges, as a standard gigapixel slide may comprise tens of thousands of image tiles. Prior models have often resorted to subsampling a small portion of tiles for each slide, thus missing the important slide-level context. Here we present Prov-GigaPath, a whole-slide pathology foundation model pretrained on 1.

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Background And Purpose: TomoEDGE is an advanced technology for TomoTherapy treatment delivery by introducing a sliding-window dynamic jaw motion. The front and back jaws move independently at the start and end of a target volume along the longitudinal couch direction to reduce the undesired dose to the normal tissues. The accuracy of field width is essential to treatment delivery in this regard.

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Effects of season and mixing on hydrocarbon concentrations and the microbial community response was explored in a series of mesocosm experiments simulating surface spills of diesel into coastal waters. Mixing of any amount contributed to hydrocarbons entering the water column, but diesel fuel composition had a significant effect on hydrocarbon concentrations. Higher initial concentrations of aromatic hydrocarbons resulted in higher water column concentrations, with minimal differences among seasons due to high variability.

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  • * Vehicles with EURO 3 standards exhibited higher fresh emission factors for n-alkanes, and the emission factors for benzo [a]pyrene varied across different vehicles, highlighting inconsistencies in pollution outputs.
  • * High aged/fresh emission ratios for certain diacid compounds and strong correlations between toluene degradation and various acids suggest that photooxidation plays a crucial role in secondary organic aerosol formation, emphasizing the need for stricter vehicle emission regulations.
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  • Large neural language models have greatly improved NLP but fine-tuning them for specific biomedical tasks is tough, especially with limited labeled data.
  • We studied fine-tuning stability in biomedical NLP and found it can vary based on pretraining methods; we tested strategies to enhance stability.
  • Techniques like freezing lower layers and layerwise decay boost performance in low-resource biomedical applications, leading to new state-of-the-art results.
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Most detailed patient information in real-world data (RWD) is only consistently available in free-text clinical documents. Manual curation is expensive and time consuming. Developing natural language processing (NLP) methods for structuring RWD is thus essential for scaling real-world evidence generation.

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Existing annotation paradigms rely on controlled vocabularies, where each data instance is classified into one term from a predefined set of controlled vocabularies. This paradigm restricts the analysis to concepts that are known and well-characterized. Here, we present the novel multilingual translation method BioTranslator to address this problem.

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Background: Bladder cancer is the tenth most common cancer in the United Kingdom. Currently, open radical cystectomy (ORC) is the gold standard. Due to the risk of complications and a 2.

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Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domain, i.e.

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Exhaust emissions from gasoline vehicles are one of the major contributors to aerosol particles observed in urban areas. It is well-known that these tiny particles are associated with air pollution, climate forcing, and adverse health effects. However, their toxicity and bioreactivity after atmospheric ageing are less constrained.

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Proximal humeral fractures are common with a bimodal distribution and sex discrepancy, affecting younger men and older women. The presentation of a proximal humeral fracture can vary greatly because of this bimodal distribution and the associated differences in mechanism of injury. Initial management should involve assessment of life- and limb-threatening injuries as outlined by the British Orthopaedic Association Standards for Trauma, with particular attention paid to axillary nerve function and vascular status.

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Surface water turbidity from dispersed clay particles can hinder the development of aquatic ecosystems. One of the primary objectives for proposed oil sands end pit lakes is that they support ecological functions and lake-specific wildlife habitat. However, high surface water turbidity has been observed in the Base Mine Lake cap water, the first full-scale demonstration oil sands end pit lake.

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  • COVID-19 often requires patients to have severe respiratory support, sometimes leading to extended use of mechanical ventilation in ICU settings.
  • Open Tracheostomy (OT) is preferred for its clear visibility during surgery, but Percutaneous Tracheostomy (PT) is a less invasive option that has limitations due to its reliance on surface landmarks for placement.
  • The proposed solution is a flexible mini-robotic system that utilizes robotic needling technology to perform a more precise and controlled tracheal puncture from an "inside-out" approach, potentially minimizing complications associated with PT.
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Organosulfates (OSs), also referred to as organic sulfate esters, are well-known and ubiquitous constituents of atmospheric aerosol particles. Commonly, they are assumed to form upon mixing of air masses of biogenic and anthropogenic origin, that is, through multiphase reactions between organic compounds and acidic sulfate particles. However, in contrast to this simplified picture, recent studies suggest that OSs may also originate from purely anthropogenic precursors or even directly from biomass and fossil fuel burning.

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Purpose: To compare the efficacy of cleaning of rigid contact lenses using two care solutions with and without rubbing.

Methods: A masked randomised trial was conducted. The cleaning efficacy of two solutions recommended for rigid contact lenses, a one-step hydrogen peroxide solution (HP) and a povidone iodine-based solution (PI), were evaluated on 64 unworn orthokeratology (ortho-k) lenses subsequent to cleaning with rubbing (R) with a surfactant cleaner or without rubbing (NR).

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Document classification aims to assign one or more classes to a document for ease of management by understanding the content of a document. Hierarchical attention network (HAN) has been showed effective to classify documents that are ambiguous. HAN parses information-intense documents into slices (i.

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Many biological studies involve either (i) manipulating some aspect of a cell or its environment and then simultaneously measuring the effect on thousands of genes, or (ii) systematically manipulating each gene and then measuring the effect on some response of interest. A common challenge that arises in these studies is to explain how genes identified as relevant in the given experiment are organized into a subnetwork that accounts for the response of interest. The task of inferring a subnetwork is typically dependent on the information available in publicly available, structured databases, which suffer from incompleteness.

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The increasingly competitive biopharmaceutical industry requires companies to focus on rapid and low-cost cell line development. Single-cell cloning (SCC) is a critical and high-value process for cell line development, and typically problematic because single cell proliferates slowly when cultivated at low cell densities. Conditioned media (CM) provide autocrine growth factors to facilitate single cell proliferation, thus improve SCC efficiency.

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Oropharyngeal tumor is traditionally resected from an open approach, often necessitating the need of a midline mandibulotomy in order to remove tumor safely with oncologic margins. The limitations imposed by a transoral route include poor visualization of the inferior extent of the oropharynx, rigid instrumentation, and inability to resect tumor that extends caudally into the supraglottis. While visualization with angled endoscopes, coupled with flexible laser development and microscopic magnification may overcome some of these limitations, this technique suffers from linear trajectory of the instruments which hampers expedient surgical resection in a 3-dimensional fashion.

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Malignant glioma (MG) is the most lethal primary brain tumor. In addition to having inherent resistance to radiation treatment and chemotherapy, MG cells are highly infiltrative, rendering focal therapies ineffective. Genes involved in MG cell migration and glial cell differentiation are up-regulated by hypophosphorylated nuclear factor I (NFI), which is dephosphorylated by the phosphatase calcineurin in MG cells.

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Spectral lines are among the most powerful signatures for dark matter (DM) annihilation searches in very-high-energy γ rays. The central region of the Milky Way halo is one of the most promising targets given its large amount of DM and proximity to Earth. We report on a search for a monoenergetic spectral line from self-annihilations of DM particles in the energy range from 300 GeV to 70 TeV using a two-dimensional maximum likelihood method taking advantage of both the spectral and spatial features of the signal versus background.

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Article Synopsis
  • Researchers are tackling the challenge of developing effective treatments for cancers like acute myeloid leukemia (AML) by focusing on genetic and epigenetic diversity in tumor cells.
  • They conducted a study where they tested 122 patient samples against 48 different drug combinations, aiming to identify effective pairings that target different biological pathways.
  • The results indicated that certain drug combinations, particularly those involving BCL2 inhibitors, showed promising benefits in myeloid cancers, while others like PI3K and bromodomain inhibitors were more effective in lymphoid cancers, suggesting potential personalized treatment strategies.
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