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Medical-informed machine learning: integrating prior knowledge into medical decision systems
BackgroundClinical medicine offers a promising arena for applying Machine Learning (ML) models. However, despite numerous studies employing ML in...
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Advancing surgical VQA with scene graph knowledge
PurposeThe modern operating room is becoming increasingly complex, requiring innovative intra-operative support systems. While the focus of surgical...
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Optimal Scale-Invariant Wavelet Representation and Filtering of Human Otoacoustic Emissions
Otoacoustic emissions (OAEs) are generated in the cochlea and recorded in the ear canal either as a time domain waveform or as a collection of...
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Diversity and Representation Among United States Participants in Amgen Clinical Trials
ObjectiveDescribe the demographic profile of US participants in Amgen clinical trials over a 10-year period and variations across therapeutic areas,...
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Gender, racial, ethnic, and Fitzpatrick skin type representation in Acanthosis nigricans clinical trials
Acanthosis nigricans (AN) is characterized by dark, velvety patches and thin plaques primarily in the body folds. AN is more prevalent in skin of...
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Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
BackgroundKnowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical...
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Knowledge about HIV-Related Services Among Young Blacks with Diverse Sexual Identities: an Intra-racial Analysis
Given the disproportionate representation in HIV/AIDS cases among young Black members of the LGBTQIA community, it is important to continue to...
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Landmark tracking in 4D ultrasound using generalized representation learning
PurposeIn this study, we present and validate a novel concept for target tracking in 4D ultrasound. The key idea is to replace image patch similarity...
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Extent of magnitude representation deficit and relationship with arithmetic skills in children with 22q11.2DS
BackgroundPrevious studies have produced conflicting results concerning the extent of magnitude representation deficit and its relationship with...
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Exploring potential circRNA biomarkers for cancers based on double-line heterogeneous graph representation learning
BackgroundCompared with the time-consuming and labor-intensive for biological validation in vitro or in vivo, the computational models can provide...
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Deep representation learning of tissue metabolome and computed tomography annotates NSCLC classification and prognosis
The rich chemical information from tissue metabolomics provides a powerful means to elaborate tissue physiology or tumor characteristics at cellular...
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Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning
BackgroundDiscovering potential drug-drug interactions (DDIs) is a long-standing challenge in clinical treatments and drug developments. Recently,...
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A Cross-Sectional Study of Sex, Race, and Ethnic Representation in Burn Registered Clinical Trials
PurposeThe demographic proportions of plastic surgery trials approximating real-world disease have not well been studied. Judicious trial...
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Toxicology knowledge graph for structural birth defects
BackgroundBirth defects are functional and structural abnormalities that impact about 1 in 33 births in the United States. They have been attributed...
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Contextualising and challenging under-representation in research in light of Cultural Trauma: a qualitative focus group and interview study
BackgroundAlthough underserved populations— including those from ethnic minority communities and those living in poverty—have worse health and poorer...
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Self-knowledge distillation for surgical phase recognition
PurposeAdvances in surgical phase recognition are generally led by training deeper networks. Rather than going further with a more complex solution,...
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Representation of Voice Hearing Groups by French Mental Health Professionals
Hearing voices groups (HVGs) are an alternative way of treating acoustic-verbal hallucinations. Although they have been develo** in France for the...
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Unexpected gaps in knowledge of familial hypercholesterolaemia among Dutch general practitioners
BackgroundFamilial hypercholesterolaemia (FH) warrants early diagnosis to prevent premature atherosclerotic cardiovascular disease (CVD). However,...
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Hybrid representation-enhanced sampling for Bayesian active learning in musculoskeletal segmentation of lower extremities
PurposeManual annotations for training deep learning models in auto-segmentation are time-intensive. This study introduces a hybrid...
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The effect of photography training on the accurate representation of gunshot and stab wounds in autopsies: a comparative study
Accurate representation of findings in autopsy photographs is of paramount importance. This study investigates the influence of photography training...
