2,863 results match your criteria automated high-performance


Application of substitution box of present cipher for automated detection of snoring sounds.

Artif Intell Med 2021 Jul 6;117:102085. Epub 2021 May 6.

Ngee Ann Polytechnic, Department of Electronics and Computer Engineering, 599489, Singapore; Department of Biomedical Engineering, School of Science and Technology, SUSS University, Singapore; Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan.

Background And Purpose: Snoring is one of the sleep disorders, and snoring sounds have been used to diagnose many sleep-related diseases. However, the snoring sound classification is done manually which is time-consuming and prone to human errors. An automated snoring sound classification model is proposed to overcome these problems. Read More

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A low-cost, high-performance video-based binocular eye tracker for psychophysical research.

J Eye Mov Res 2021 May 5;14(3). Epub 2021 May 5.

Carl Zeiss Vision International GmbH, Aalen, Germany.

We describe a high-performance, pupil-based binocular eye tracker that approaches the performance of a well-established commercial system, but at a fraction of the cost. The eye tracker is built from standard hardware components, and its software (written in Visual C++) can be easily implemented. Because of its fast and simple linear calibration scheme, the eye tracker performs best in the central 10 degrees of the visual field. Read More

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An engineering perspective on the development and evolution of implantable cardiac monitors in free-living animals.

Philos Trans R Soc Lond B Biol Sci 2021 Aug 14;376(1830):20200217. Epub 2021 Jun 14.

Department of Surgery, University of Minnesota, B172 Mayo, MMC 195, 420 Delaware Street SE, Minneapolis, MN 55455, USA.

The latest technologies associated with implantable physiological monitoring devices can record multiple channels of data (including: heart rates and rhythms, activity, temperature, impedance and posture), and coupled with powerful software applications, have provided novel insights into the physiology of animals in the wild. This perspective details past challenges and lessons learned from the uses and developments of implanted biologgers designed for human clinical application in our research on free-ranging American black bears (). In addition, we reference other research by colleagues and collaborators who have leveraged these devices in their work, including: brown bears (), grey wolves (), moose (), maned wolves () and southern elephant seals (). Read More

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A Universal and High-Throughput Proteomics Sample Preparation Platform.

Anal Chem 2021 Jun 10. Epub 2021 Jun 10.

National Center for Advancing Translational Sciences, National Institutes of Health, 9800 Medical Center Drive, Rockville, Maryland 20850, United States.

Major advances have been made to improve the sensitivity of mass analyzers, spectral quality, and speed of data processing enabling more comprehensive proteome discovery and quantitation. While focus has recently begun shifting toward robust proteomics sample preparation efforts, a high-throughput proteomics sample preparation is still lacking. We report the development of a highly automated universal 384-well plate sample preparation platform with high reproducibility and adaptability for extraction of proteins from cells within a culture plate. Read More

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A route pruning algorithm for an automated geographic location graph construction.

Sci Rep 2021 Jun 2;11(1):11547. Epub 2021 Jun 2.

Department of Computer Science, Brunel University London, London, UK.

Automated construction of location graphs is instrumental but challenging, particularly in logistics optimisation problems and agent-based movement simulations. Hence, we propose an algorithm for automated construction of location graphs, in which vertices correspond to geographic locations of interest and edges to direct travelling routes between them. Our approach involves two steps. Read More

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Change Regularity of Taste and the Performance of Endogenous Proteases in Shrimp () Head during Autolysis.

Foods 2021 May 8;10(5). Epub 2021 May 8.

College of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.

This study evaluated the food safety and proximate composition of shrimp head (SH). Potentially toxic elements in SH were below European Union legislation limits. SH had a high content of tasting amino acids (sweet and umami amino acids was 57%) and a high content of functional amino acids (essential amino acids was 37%). Read More

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ProkEvo: an automated, reproducible, and scalable framework for high-throughput bacterial population genomics analyses.

PeerJ 2021 21;9:e11376. Epub 2021 May 21.

Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America.

Whole Genome Sequence (WGS) data from bacterial species is used for a variety of applications ranging from basic microbiological research, diagnostics, and epidemiological surveillance. The availability of WGS data from hundreds of thousands of individual isolates of individual microbial species poses a tremendous opportunity for discovery and hypothesis-generating research into ecology and evolution of these microorganisms. Flexibility, scalability, and user-friendliness of existing pipelines for population-scale inquiry, however, limit applications of systematic, population-scale approaches. Read More

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Structure-based protein function prediction using graph convolutional networks.

Nat Commun 2021 05 26;12(1):3168. Epub 2021 May 26.

Center for Computational Biology, Flatiron Institute, New York, NY, USA.

The rapid increase in the number of proteins in sequence databases and the diversity of their functions challenge computational approaches for automated function prediction. Here, we introduce DeepFRI, a Graph Convolutional Network for predicting protein functions by leveraging sequence features extracted from a protein language model and protein structures. It outperforms current leading methods and sequence-based Convolutional Neural Networks and scales to the size of current sequence repositories. Read More

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Diabetic retinopathy detection through convolutional neural networks with synaptic metaplasticity.

Comput Methods Programs Biomed 2021 Jul 22;206:106094. Epub 2021 Apr 22.

Department of Computer Science and Technology, University of Alicante, Ctra. San Vicente del Raspeig s/n, 03690, San Vicente del Raspeig, Spain. Electronic address:

Background And Objectives: Diabetic retinopathy is a type of diabetes that causes vascular changes that can lead to blindness. The ravages of this disease cannot be reversed, so early detection is essential. This work presents an automated method for early detection of this disease using fundus colored images. Read More

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Clinical Chemistry for Developing Countries: Mass Spectrometry.

Annu Rev Anal Chem (Palo Alto Calif) 2021 May 12. Epub 2021 May 12.

Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, USA; email:

Early disease diagnosis is necessary to enable timely interventions. Implementation of this vital task in the developing world is challenging owing to limited resources. Diagnostic approaches developed for resource-limited settings have often involved colorimetric tests (based on immunoassays) due to their low cost. Read More

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Unveiling metabolic changes in marsupialized odontogenic keratocyst: A pilot study.

Oral Dis 2021 May 12. Epub 2021 May 12.

Department of Oral Surgery and Pathology, School of Dentistry, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil.

Objective: We aimed to assess which metabolic pathways would be implicated in the phenotypic changes of the epithelial lining of odontogenic keratocyst after marsupialization, comparing pre- and post-marsupialized lesions with adjacent oral mucosa.

Materials And Methods: Eighteen formalin-fixed and paraffin-embedded tissues from six subjects were divided into three paired groups: odontogenic keratocyst pre- (n = 6) and post-marsupialization (n = 6), and adjacent oral mucosa (n = 6). The metabolic pathways found in these groups were obtained by high-performance liquid chromatography-mass spectrometry-based untargeted metabolomics performed. Read More

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Automated Generation of Personalized Shock Wave Lithotripsy Protocols: Treatment Planning Using Deep Learning.

JMIR Med Inform 2021 May 11;9(5):e24721. Epub 2021 May 11.

School of Medicine, University of Utah, Salt Lake City, UT, United States.

Background: Though shock wave lithotripsy (SWL) has developed to be one of the most common treatment approaches for nephrolithiasis in recent decades, its treatment planning is often a trial-and-error process based on physicians' subjective judgement. Physicians' inexperience with this modality can lead to low-quality treatment and unnecessary risks to patients.

Objective: To improve the quality and consistency of shock wave lithotripsy treatment, we aimed to develop a deep learning model for generating the next treatment step by previous steps and preoperative patient characteristics and to produce personalized SWL treatment plans in a step-by-step protocol based on the deep learning model. Read More

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Is machine learning and automatic classification of swimming data what unlocks the power of inertial measurement units in swimming?

J Sports Sci 2021 May 9:1-20. Epub 2021 May 9.

Griffith University Sports Technology (GUST), School of Engineering and Built Environment, Griffith University, Brisbane, QLD Australia.

Researchers have heralded the power of inertial sensors as a reliable swimmer-centric monitoring technology, however, regular uptake of this technology has not become common practice. Twenty-six elite swimmers participated in this study. An IMU (100Hz/500Hz) sensor was secured in the participant's third lumbar vertebrae. Read More

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Non-target analysis of organic waste amended agricultural soils: Characterization of added organic pollution.

Chemosphere 2021 Apr 19;280:130582. Epub 2021 Apr 19.

Aarhus University, Department of Environmental Science, Environmental Metabolomics Lab, Roskilde, Denmark. Electronic address:

Amendment of soil with organic urban and animal wastes can keep arable soil fertile without the need for synthetic fertilizers. However, pollutants present in these types of waste might be carried into the soil with unintended consequences for the environment. We studied an experimental agricultural plot, which had been amended with either synthetic inorganic fertilizers, human urine, manure, or wastewater treatment sludge at very high rates. Read More

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X-ray tomographic reconstruction and segmentation pipeline for the long-wavelength macromolecular crystallography beamline at Diamond Light Source.

J Synchrotron Radiat 2021 May 20;28(Pt 3):889-901. Epub 2021 Apr 20.

Diamond Light Source Ltd, Diamond House, Harwell Science and Innovation Campus, Fermi Avenue, Didcot OX11 0DE United Kingdom.

In this paper a practical solution for the reconstruction and segmentation of low-contrast X-ray tomographic data of protein crystals from the long-wavelength macromolecular crystallography beamline I23 at Diamond Light Source is provided. The resulting segmented data will provide the path lengths through both diffracting and non-diffracting materials as basis for analytical absorption corrections for X-ray diffraction data taken in the same sample environment ahead of the tomography experiment. X-ray tomography data from protein crystals can be difficult to analyse due to very low or absent contrast between the different materials: the crystal, the sample holder and the surrounding mother liquor. Read More

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Improving burn depth assessment for pediatric scalds by AI based on semantic segmentation of polarized light photography images.

Burns 2021 Feb 8. Epub 2021 Feb 8.

Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. Electronic address:

This paper illustrates the efficacy of an artificial intelligence (AI) (a convolutional neural network, based on the U-Net), for the burn-depth assessment using semantic segmentation of polarized high-performance light camera images of burn wounds. The proposed method is evaluated for paediatric scald injuries to differentiate four burn wound depths: superficial partial-thickness (healing in 0-7 days), superficial to intermediate partial-thickness (healing in 8-13 days), intermediate to deep partial-thickness (healing in 14-20 days), deep partial-thickness (healing after 21 days) and full-thickness burns, based on observed healing time. In total 100 burn images were acquired. Read More

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February 2021

Biotic Yield Losses in the Southern Amazon, Brazil: Making Use of Smartphone-Assisted Plant Disease Diagnosis Data.

Front Plant Sci 2021 15;12:621168. Epub 2021 Apr 15.

Progressive Environmental and Agricultural Technologies (PEAT) GmbH, Hannover, Germany.

Pathogens and animal pests (P&A) are a major threat to global food security as they directly affect the quantity and quality of food. The Southern Amazon, Brazil's largest domestic region for soybean, maize and cotton production, is particularly vulnerable to the outbreak of P&A due to its (sub)tropical climate and intensive farming systems. However, little is known about the spatial distribution of P&A and the related yield losses. Read More

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A Raspberry Pi-Based Traumatic Brain Injury Detection System for Single-Channel Electroencephalogram.

Sensors (Basel) 2021 Apr 15;21(8). Epub 2021 Apr 15.

Computing and Software Systems, University of Washington, Bothell, WA 98011, USA.

Traumatic Brain Injury (TBI) is a common cause of death and disability. However, existing tools for TBI diagnosis are either subjective or require extensive clinical setup and expertise. The increasing affordability and reduction in the size of relatively high-performance computing systems combined with promising results from TBI related machine learning research make it possible to create compact and portable systems for early detection of TBI. Read More

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Deciphering the Methylation Landscape in Breast Cancer: Diagnostic and Prognostic Biosignatures through Automated Machine Learning.

Cancers (Basel) 2021 Apr 2;13(7). Epub 2021 Apr 2.

Laboratory of Pharmacology, Medical School, Democritus University of Thrace, GR-68100 Alexandroupolis, Greece.

DNA methylation plays an important role in breast cancer (BrCa) pathogenesis and could contribute to driving its personalized management. We performed a complete bioinformatic analysis in BrCa whole methylome datasets, analyzed using the Illumina methylation 450 bead-chip array. Differential methylation analysis vs. Read More

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Automation of the Whole-Blood Thiopurine -Methyltransferase (TPMT) Phenotyping Assay Using the Biomek NX and Biomek i5 Liquid-Handling Workstations.

SLAS Technol 2021 Apr 29:24726303211008856. Epub 2021 Apr 29.

Department of Clinical Biochemistry, Sandwell & West Birmingham NHS Trust, part of the Black Country Pathology Services, The Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK.

Assessment of thiopurine -methyltransferase (TPMT) status is required before commencing thiopurine treatment to reduce the potential for adverse drug reactions. Our laboratory has provided a national TPMT phenotyping service since 2003. Our assay uses 6-thioguanine as substrate and detection of 6-methylthioguanine via high-performance liquid chromatography (HPLC) fluorescence. Read More

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Age and gender differences in the prevalence of chronic diseases and atherosclerotic cardiovascular disease risk scores in adults in Riyadh city, Saudi Arabia.

Saudi Med J 2021 May;42(5):526-536

From the Princess Nora Bent Abdullah Chair for Women's Health Research (AlQuaiz, Kazi, Almeneessier, AlHabeeb, Siddiqui), Deanship of Research Chairs Program, and from the Department of Family & Community Medicine (AlQuaiz, Kazi, AlOdhayani), College of Medicine, King Saud University Medical City, King Saud University, Riyadh, Kingdom of Saudi Arabia.

Objectives: To evaluate age and gender differences in the prevalence of chronic diseases and to calculate atherosclerotic cardiovascular disease (ASCVD) risk scores in adults aged 30-75 years in Riyadh city, Saudi Arabia.

Methods: This cross-sectional, interview-based study was conducted with 2997 men and women, visiting primary health care centers in Riyadh, during the years 2015 to 2016. Serum glycosylated hemoglobin and lipid levels were measured by ion-exchange high-performance liquid chromatography and fully automated analyzer using enzymatic methods, respectively. Read More

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Ultra-high-frequency (UHF) surface-acoustic-wave (SAW) microfluidics and biosensors.

Nanotechnology 2021 May 10;32(31). Epub 2021 May 10.

INTA srl, Intelligent Acoustics Systems, Via Nino Pisano 14, I-56122 Pisa, Italy.

Surface acoustic waves (SAWs) have the potential to become the basis for a wide gamut of lab-on-a-chips (LoCs). These mechanical waves are among the most promising physics that can be exploited for fulfilling all the requirements of commercially appealing devices that aim to replace-or help-laboratory facilities. These requirements are low processing cost of the devices, scalable production, controllable physics, large flexibility of tasks to perform, easy device miniaturization. Read More

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Long-term detection of clodronate in equine plasma by liquid chromatography-tandem mass spectrometry.

Drug Test Anal 2021 Apr 18. Epub 2021 Apr 18.

GIE-LCH, Laboratoire des Courses Hippiques, Verrières le Buisson, France.

Clodronate is a non-nitrogen-containing bisphosphonate drug approved in equine veterinary medicine. Clodronate is prohibited for use in competition horses; therefore, to set up an appropriate control, detection times and screening limits are required. The quantitative method in plasma consisted of addition of chloromethylene diphosphonic acid as internal standard. Read More

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Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study.

J Med Internet Res 2021 Apr 15;23(4):e25167. Epub 2021 Apr 15.

Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Republic of Korea.

Background: In a previous study, we examined the use of deep learning models to classify the invasion depth (mucosa-confined versus submucosa-invaded) of gastric neoplasms using endoscopic images. The external test accuracy reached 77.3%. Read More

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RAP: A Web Tool for RNA-Seq Data Analysis.

Methods Mol Biol 2021 ;2284:393-415

Department of Ecological and Biological Sciences (DEB), University of Tuscia, Viterbo, Italy.

Since 1950 main studies of RNA regarded its role in the protein synthesis. Later insights showed that only a small portion of RNA codes for proteins where the rest could have different functional roles. With the advent of Next Generation Sequencing (NGS) and in particular with RNA-seq technology the cost of sequencing production dropped down. Read More

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January 2021

ELVISort: encoding latent variables for instant sorting, an artificial intelligence-based end-to-end solution.

J Neural Eng 2021 04 26;18(4). Epub 2021 Apr 26.

Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Magyar tudósok körútja 2, Budapest H-1117, Hungary.

The growing number of recording sites of silicon-based probes means that an increasing amount of neural cell activities can be recorded simultaneously, facilitating the investigation of underlying complex neural dynamics. In order to overcome the challenges generated by the increasing number of channels, highly automated signal processing tools are needed. Our goal was to build a spike sorting model that can perform as well as offline solutions while maintaining high efficiency, enabling high-performance online sorting. Read More

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Bioinformatics tools developed to support BioCompute Objects.

Database (Oxford) 2021 Mar;2021

The Department of Biochemistry & Molecular Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC 20037, USA.

Developments in high-throughput sequencing (HTS) result in an exponential increase in the amount of data generated by sequencing experiments, an increase in the complexity of bioinformatics analysis reporting and an increase in the types of data generated. These increases in volume, diversity and complexity of the data generated and their analysis expose the necessity of a structured and standardized reporting template. BioCompute Objects (BCOs) provide the requisite support for communication of HTS data analysis that includes support for workflow, as well as data, curation, accessibility and reproducibility of communication. Read More

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Deep convolutional neural network for the automated detection of Subthalamic nucleus using MER signals.

J Neurosci Methods 2021 May 24;356:109145. Epub 2021 Mar 24.

School of Life Science and Technology, Harbin Institute of Technology, 2 Yikuang Str., Nangang District, Harbin 150080, China.

Background: Deep brain stimulation (DBS) surgery has been extensively conducted for treating advanced Parkinson's disease (PD) patient's symptoms. DBS hinges on the localization of the subthalamic nucleus (STN) in which a permanent electrode should be accurately placed to produce electrical current. Microelectrode recording (MER) signals are routinely recorded in the procedure of DBS surgery to validate the planned trajectories. Read More

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Automatic lumen detection and magnetic alignment control for magnetic-assisted capsule colonoscope system optimization.

Sci Rep 2021 Mar 19;11(1):6460. Epub 2021 Mar 19.

Division of Gastroenterology, Department of Internal Medicine, Taipei Municipal Wan Fang Hospital, Taipei Medical University, No. 111, Section 3, Xing Long Road, Taipei, 116, Taiwan.

We developed a magnetic-assisted capsule colonoscope system with integration of computer vision-based object detection and an alignment control scheme. Two convolutional neural network models A and B for lumen identification were trained on an endoscopic dataset of 9080 images. In the lumen alignment experiment, models C and D used a simulated dataset of 8414 images. Read More

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High-precision measurement of phenylalanine and glutamic acid δ N by coupling ion-exchange chromatography and purge-and-trap continuous-flow isotope ratio mass spectrometry.

Rapid Commun Mass Spectrom 2021 Jul;35(13):e9085

School for Marine Science and Technology, University of Massachusetts Dartmouth, New Bedford, Massachusetts, USA.

Rationale: Nitrogen isotopic compositions (δ N) of source and trophic amino acids (AAs) are crucial tracers of N sources and trophic enrichments in diverse fields, including archeology, astrobiochemistry, ecology, oceanography, and paleo-sciences. The current analytical technique using gas chromatography-combustion-isotope ratio mass spectrometry (GC/C/IRMS) requires derivatization, which is not compatible with some key AAs. Another approach using high-performance liquid chromatography-elemental analyzer-IRMS (HPLC/EA/IRMS) may experience coelution issues with other compounds in certain types of samples, and the highly sensitive nano-EA/IRMS instrumentations are not widely available. Read More

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