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Open AccessPreparing a microemulsion-loaded hydrogel for cleaning wall paintings and coins
Removing unwanted materials, such as organic coatings and soil, from the cultural relic surface is a complex and significant task in the field of cultural heritage conservation. Microemulsion-loaded gel can ef...
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Article
Universal detection and segmentation of lymph nodes in multi-parametric MRI
Reliable measurement of lymph nodes (LNs) in multi-parametric MRI (mpMRI) studies of the body plays a major role in the assessment of lymphadenopathy and staging of metastatic disease. Previous approaches do n...
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Open AccessA deep network DeepOpacityNet for detection of cataracts from color fundus photographs
Cataract diagnosis typically requires in-person evaluation by an ophthalmologist. However, color fundus photography (CFP) is widely performed outside ophthalmology clinics, which could be exploited to increase...
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Open AccessProbe nuclear structure using the anisotropic flow at the Large Hadron Collider
Recent studies have shown that the shape and radial profile of the colliding nuclei have strong influences on the initial condition of the heavy ion collisions and the subsequent development of the anisotropic...
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Article
Open AccessImproving model fairness in image-based computer-aided diagnosis
Deep learning has become a popular tool for computer-aided diagnosis using medical images, sometimes matching or exceeding the performance of clinicians. However, these models can also reflect and amplify huma...
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Tracking genetic variants in the biomedical literature using LitVar 2.0
Kee** up with the latest variant-related research is vital for genomic medicine. Here we present LitVar 2.0, a significantly improved web-based system to accurately search for genetic variants in the unstruc...
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Article
Universal lymph node detection in T2 MRI using neural networks
Identification of lymph nodes (LNs) that are suspicious for metastasis in T2 Magnetic Resonance Imaging (MRI) is critical for assessment of lymphadenopathy. Prior work on LN detection has been limited to speci...
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Article
Open AccessComparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction
The Pooled Cohort Equations (PCEs) are race- and sex-specific Cox proportional hazards (PH)-based models used for 10-year atherosclerotic cardiovascular disease (ASCVD) risk prediction with acceptable discrimi...
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Article
Open AccessVisualization and map** of literature on the scientific analysis of wall paintings: a bibliometric analysis from 2011 to 2021
As non-renewable cultural heritage, wall paintings play an important role in society. To reveal the trends in the scientific analysis of mural paintings, 845 relevant research articles published from 2011 to 2...
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Open AccessAuthor Correction: Detecting visually significant cataract using retinal photograph-based deep learning
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Open AccessDetecting visually significant cataract using retinal photograph-based deep learning
Age-related cataracts are the leading cause of visual impairment among older adults. Many significant cases remain undiagnosed or neglected in communities, due to limited availability or accessibility to catar...
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Article
Predicting myocardial infarction through retinal scans and minimal personal information
In ophthalmologic practice, retinal images are routinely obtained to diagnose and monitor primary eye diseases and systemic conditions affecting the eye, such as diabetic retinopathy. Recent studies have shown...
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Article
Open AccessNLM-Chem, a new resource for chemical entity recognition in PubMed full text literature
Automatically identifying chemical and drug names in scientific publications advances information access for this important class of entities in a variety of biomedical disciplines by enabling improved retriev...
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Article
Open AccessPredicting risk of late age-related macular degeneration using deep learning
By 2040, age-related macular degeneration (AMD) will affect ~288 million people worldwide. Identifying individuals at high risk of progression to late AMD, the sight-threatening stage, is critical for clinical...
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Article
Anticancer effects of brusatol in nasopharyngeal carcinoma through suppression of the Akt/mTOR signaling pathway
Brusatol, a natural quassinoid that is isolated from a traditional Chinese herbal medicine known as Bruceae Fructus, possesses biological activity in various types of human cancers, but its effects in nasophar...
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Open AccessAutomated abnormality classification of chest radiographs using deep convolutional neural networks
As one of the most ubiquitous diagnostic imaging tests in medical practice, chest radiography requires timely reporting of potential findings and diagnosis of diseases in the images. Automated, fast, and relia...
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Open AccessDeep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and mod...
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Open AccessTracking human genes along the translational continuum
Understanding the drivers of research on human genes is a critical component to success of translation efforts of genomics into medicine and public health. Using publicly available curated online databases we ...
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Article
GRID: a student project to monitor the transient gamma-ray sky in the multi-messenger astronomy era
The Gamma-Ray Integrated Detectors (GRID) is a space mission concept dedicated to monitoring the transient gamma-ray sky in the energy range from 10 keV to 2 MeV using scintillation detectors onboard CubeSats ...
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Open AccessBioWordVec, improving biomedical word embeddings with subword information and MeSH
Distributed word representations have become an essential foundation for biomedical natural language processing (BioNLP), text mining and information retrieval. Word embeddings are traditionally computed at th...