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Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks.

Cell systems
While genes are defined by sequence, in biological systems a protein's function is largely determined by its three-dimensional structure. Evolutionary information embedded within multiple sequence alignments provides a rich source of data for inferri...
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Gold nanoparticle core-europium(iii) chelate fluorophore-doped silica shell hybrid nanocomposites for the lateral flow immunoassay of human thyroid stimulating hormone with a dual signal readout.

The Analyst
Hybrid nanocomposite particles composed of a gold core coated with a europium(iii)-chelate fluorophore-doped silica shell (AuNPs@SiO-Eu) have been synthesized and applied as antibody labels in lateral flow immunoassay (LFIA) devices for the determina...
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White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks.

NeuroImage. Clinical
White matter hyperintensities (WMH) are a feature of sporadic small vessel disease also frequently observed in magnetic resonance images (MRI) of healthy elderly subjects. The accurate assessment of WMH burden is of crucial importance for epidemiolog...

Antibacterial mechanisms of a novel type picosecond laser-generated silver-titanium nanoparticles and their toxicity to human cells.

International journal of nanomedicine
In this study, we explored the antibacterial mechanisms for a novel type of Ag-TiO compound nanoparticles (NPs) produced from an Ag-TiO alloy using a picosecond laser and evaluated the toxicity of the Ag-TiO NPs to a range of human cell types. Transm...

A multiple distributed representation method based on neural network for biomedical event extraction.

BMC medical informatics and decision making
BACKGROUND: Biomedical event extraction is one of the most frontier domains in biomedical research. The two main subtasks of biomedical event extraction are trigger identification and arguments detection which can both be considered as classification...
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Automatic schizophrenic discrimination on fNIRS by using complex brain network analysis and SVM.

BMC medical informatics and decision making
BACKGROUND: Schizophrenia is a kind of serious mental illness. Due to the lack of an objective physiological data supporting and a unified data analysis method, doctors can only rely on the subjective experience of the data to distinguish normal peop...

Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis.

Scientific reports
Current cancer diagnosis employs various nuclear morphometric measures. While these have allowed accurate late-stage prognosis, early diagnosis is still a major challenge. Recent evidence highlights the importance of alterations in mechanical propert...

Integration of CT urography improves diagnostic confidence of Ga-PSMA-11 PET/CT in prostate cancer patients.

Cancer imaging : the official publication of the International Cancer Imaging Society
BACKGROUND: To prove the feasibility of integrating CT urography (CTU) into Ga-PSMA-11 PET/CT and to analyze the impact of CTU on assigning focal tracer accumulation in the ureteric space to either ureteric excretion or metastatic disease concerning ...

Therapeutic hypothermia in patients with coagulopathy following severe traumatic brain injury.

Scandinavian journal of trauma, resuscitation and emergency medicine
BACKGROUND: Coagulopathy in traumatic brain injury (TBI) has been associated with poor neurological outcomes and higher in-hospital mortality. In general principle of trauma management, hypothermia should be prevented as it directly worsens coagulopa...