970,073 results match your criteria Ai Communications[Journal]

AI powered electrochemical multi-component detection of insulin and glucose in serum.

Biosens Bioelectron 2021 May 1;186:113291. Epub 2021 May 1.

State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110000, China. Electronic address:

Multi-component detection of insulin and glucose in serum is of great importance and urgently needed in clinical diagnosis and treatment due to its economy and practicability. However, insulin and glucose can hardly be determined by traditional electrochemical detection methods. Their mixed oxidation currents and rare involvement in the reaction process make it difficult to decouple them. Read More

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Artificial Intelligence for Adult Spinal Deformity: Current State and Future Directions.

Spine J 2021 May 7. Epub 2021 May 7.

Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.

As we experience a technological revolution unlike any other time in history, neurosurgery as a discipline is poised to undergo a dramatic transformation. As enormous amounts of data become digitized and more readily available, medical professionals approach a critical juncture with respect to how advanced computational techniques may be incorporated into clinical practices. Within neurosurgery, spinal disorders in particular, represent a complex and heterogeneous disease entity that can vary dramatically in its clinical presentation and how it may impact patients' lives. Read More

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Hydrophobic and polar interactions of FDA-approved small protein kinase inhibitors with their target enzymes.

Robert Roskoski

Pharmacol Res 2021 May 7:105660. Epub 2021 May 7.

Blue Ridge Institute for Medical Research 3754 Brevard Road, Suite 116, Box 19 Horse Shoe, North Carolina 28742-8814, United States. Electronic address:

Dysregulation and mutations of protein kinases play causal roles in many diseases including cancer. The KLIFS (kinase-ligand interaction fingerprint and structure) catalog includes 85 ligand binding-site residues occurring in both the small and large protein kinase lobes. Except for allosteric inhibitors, all FDA-approved drug-target enzyme complexes display hydrophobic interactions involving catalytic spine residue-6 (KLIFS-77), catalytic spine residue-7 (KLIFS-11), and catalytic spine residue-8 (KLIFS-15) within the small lobe and residues within the hinge-linker region (KLIFS-46-52). Read More

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Mixed-precision weights network for field-programmable gate array.

PLoS One 2021 10;16(5):e0251329. Epub 2021 May 10.

Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Fukuoka, Japan.

In this study, we introduced a mixed-precision weights network (MPWN), which is a quantization neural network that jointly utilizes three different weight spaces: binary {-1,1}, ternary {-1,0,1}, and 32-bit floating-point. We further developed the MPWN from both software and hardware aspects. From the software aspect, we evaluated the MPWN on the Fashion-MNIST and CIFAR10 datasets. Read More

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Computational investigation of phytochemicals from (Indian ginseng/ashwagandha) as plausible inhibitors of GluN2B-containing NMDA receptors.

J Biomol Struct Dyn 2021 May 10:1-13. Epub 2021 May 10.

Division of Computer Aided Drug Design, Department of Pharmaceutical Chemistry, R. C. Patel Institute of Pharmaceutical Education and Research, Shirpur, Maharashtra, India.

-Methyl-d-aspartate receptor (NMDAR)-mediated excitotoxicity has been implicated in multi-neurodegenerative diseases. Owing to dearth of efficacy and adverse effects of NMDA receptor antagonists, search for herbal remedies acting like salutary agents is a dynamic expanse of investigation to contest neurodegenerative disease. () has been used since antiquity as a nerve tonic and nootropic agents in Ayurveda, an old Indian system of medicine. Read More

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Exercise load and physical activity intensity in relation to dystonia and choreoathetosis during powered wheelchair mobility in children and youth with dyskinetic cerebral palsy.

Disabil Rehabil 2021 May 10:1-12. Epub 2021 May 10.

KU Leuven, Bruges Campus, Department of Rehabilitation Sciences, Research Group for Neurorehabilitation, Bruges, Belgium.

Purpose: To explore the relation between exercise load, physical activity intensity, and movement disorders during powered wheelchair (PW) mobility in people with severe dyskinetic cerebral palsy (DCP).

Methods: Ten participants with DCP, 6-21 years old, users of a head/foot steering system were included. Dystonia and choreoathetosis were assessed using the Dyskinesia Impairment Mobility Scale (DIMS), heart rate (HR) was used to assess the exercise load of the tasks on the participants, and the accelerometry-based activity index (AI) to measure the physical activity intensity and energy expenditure during mobility task performance. Read More

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A study of innate immune kinetics reveals a role for a chloride transporter in a virulent Francisella tularensis type B strain.

Microbiologyopen 2021 Feb;10(2):e1170

The Alkek Center for Metagenomics and Microbiome Research, Baylor College of Medicine, Houston, TX, USA.

Tularemia is a zoonotic disease of global proportions. Francisella tularensis subspecies tularensis (type A) and holarctica (type B) cause disease in healthy humans, with type A infections resulting in higher mortality. Repeated passage of a type B strain in the mid-20th century generated the Live Vaccine Strain (LVS). Read More

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February 2021

Perceptual adaptation during a balancing task in the seated posture and its theoretical model.

Biol Cybern 2021 May 10. Epub 2021 May 10.

Faculty of Engineering, Gifu University, Tokai National Higher Education and Research System, Yanadigo 1-1, Gifu, Japan.

This paper proposes a theoretical model of the control and perception mechanism in human balance. Human balance perception is evaluated by the subjective upright posture, the posture at which a person does not feel he/she is at an incline. Our balance experiments in the seated posture showed that the subjective upright posture changed after the balancing task where the participants needed to incline to maintain their balance. Read More

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Comprehensive Review on Triboelectric Nanogenerator Based Wrist Pulse Measurement: Sensor Fabrication and Diagnosis of Arterial Pressure.

ACS Sens 2021 May 10. Epub 2021 May 10.

Department of Instrumentation, School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu 632 014, India.

As the world is marching into the era of the Internet of things (IoTs) and artificial intelligence (AI), the most vital requirement for reliable hardware development is an ultrafast response time and no performance degradation. As a reliable indicator of human physiological health, blood pressure measurement is vital in humans' daily lives, which creates a huge demand in monitoring and diagnosing blood pressure problems. The triboelectric nanogenerator (TENG) is one of the best energy devices and healthcare applications in the new era since triboelectrification is a universal and ubiquitous effect with an abundant choice of materials. Read More

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Mild hyperbaric oxygen for the early improvement of mood disturbance induced by high-intensity exercise.

J Sports Med Phys Fitness 2021 May 10. Epub 2021 May 10.

Department of Sports Research, Japan Institute of Sport Sciences, Kita-ku, Tokyo, Japan.

Background: Excessive training stress can result in decreased performance and deep fatigue due to hormonal changes. There are few available data on recovery methods for mood disturbance, especially fatigue, after high-intensity training. This study, therefore, aimed to examine the effects of mild hyperbaric oxygen at 1. Read More

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Historical Loss: Implications for Health of American Indians in the Blackfeet Community.

Ann Behav Med 2021 May 10. Epub 2021 May 10.

Montana State University, Center for American Indian and Rural Health Equity, Bozeman, MT, USA.

Background: Historical loss in American Indians (AIs) is believed to contribute to high incidence of mental health disorders, yet less is known about the associations between historical loss and physical health.

Purpose: To investigate whether frequency of thought about historical loss predicts risk factors for chronic physical health conditions in an AI community.

Methods: Using Community Based Participatory research (CBPR) and Ecological Momentary Assessment (EMA), we measured frequency of thoughts about historical loss in 100 AI adults residing on the Blackfeet reservation. Read More

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Unintentional consequences of artificial intelligence (AI) in dermatology for patients with skin of colour.

Clin Exp Dermatol 2021 May 10. Epub 2021 May 10.

Department of Dermatology, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.

Recently, there have been concerns that dermatology resources and education lack sufficient material regarding patients with skin of colour(SOC) in the Western world. In the UK, we have an increasingly diverse population, of which 14% have non-Caucasian skin types, necessitating a shift in our educational focus to reflect our changing environment in order for dermatologists to feel comfortable managing conditions in SOC.. Read More

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Vaccine adverse event enrichment tests.

Stat Med 2021 May 9. Epub 2021 May 9.

Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.

Vaccination safety is critical for individual and public health. Many existing methods have been used to conduct safety studies with the VAERS (Vaccine Adverse Event Reporting System) database. However, these methods frequently identify many adverse event (AE) signals and they are often hard to interpret in a biological context. Read More

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On the Role of Artificial Intelligence in Medical Imaging of COVID-19.

Patterns (N Y) 2021 Apr 30:100269. Epub 2021 Apr 30.

IBM Research Haifa, Israel.

Although a plethora of research articles on AI methods on COVID-19 medical imaging are published, their clinical value remains unclear. We conducted the largest systematic review of the literature addressing the utility of AI in imaging for COVID-19 patient care. By keyword searches on PubMed and preprint servers throughout 2020, we identified 463 manuscripts and performed a systematic meta-analysis to assess their technical merit and clinical relevance. Read More

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Fearless path for human resource personnel's through analytics: a study of recent tools and techniques of human resource analytics and its implication.

Int J Inf Technol 2021 May 4:1-9. Epub 2021 May 4.

M.E.R.I, New Delhi, India.

The golden rule developed by Gordon E. Moore in 1965 stands forth and upholds its perception, which is observant with trending technology and making organizations, groups and individuals extract benefits from machine. AI, Robotics, Business Intelligence, Big Data and Analytics, Edge Computing, Hyperautomation, Blockchain, Democratization, Human Augmentation, Multiexperience are technical domains and trends supporting ongoing technical progress making mankind to innovate and create superhuman capabilities leaving HRs to fight the battle of replacing technology-literate people with people-literate technology. Read More

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Agreement of Angiography-Derived and Wire-Based Fractional Flow Reserves in Percutaneous Coronary Intervention.

Front Cardiovasc Med 2021 23;8:654392. Epub 2021 Apr 23.

Department of Cardiology, National Center of Gerontology, Institute of Geriatric Medicine, Beijing Hospital, Chinese Academy of Medical Sciences, Beijing, China.

Coronary angiography-derived fractional flow reserve (caFFR) measurements have shown good correlations and agreement with invasive wire-based fractional flow reserve (FFR) measurements. However, few studies have examined the diagnostic performance of caFFR measurements before and after percutaneous coronary intervention (PCI). This study sought to compare the diagnostic performance of caFFR measurements against wire-based FFR measurements in patients before and after PCI. Read More

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Investigation of the Dynamic Breakdown of a Dielectric Elastomer Actuator Under Cyclic Voltage Excitation.

Front Robot AI 2021 21;8:672154. Epub 2021 Apr 21.

Shaanxi Key Laboratory of Intelligent Robots, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.

The dielectric elastomer (DE) is a new kind of functional polymer that can be used as a smart actuator due to the large deformation induced by voltage excitation. Dielectric elastomer actuators (DEAs) are usually excited by dynamic voltages to generate alternating motions. DEAs are prone to premature breakdown failure during the dynamic excitation, while the research on the breakdown of DEAs under cyclic voltage excitation is still not fully revealed. Read More

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Validating a Termite-Inspired Construction Coordination Mechanism Using an Autonomous Robot.

Front Robot AI 2021 21;8:645728. Epub 2021 Apr 21.

John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States.

Many species of termites build large, structurally complex mounds, and the mechanisms behind this coordinated construction have been a longstanding topic of investigation. Recent work has suggested that humidity may play a key role in the mound expansion of savannah-dwelling species: termites preferentially deposit soil on the mound surface at the boundary of the high-humidity region characteristic of the mound interior, implying a coordination mechanism through environmental feedback where addition of wet soil influences the humidity profile and vice versa. Here we test this potential mechanism physically using a robotic system. Read More

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Cognitive Intervention Through Photo-Integrated Conversation Moderated by Robots (PICMOR) Program: A Randomized Controlled Trial.

Front Robot AI 2021 12;8:633076. Epub 2021 Apr 12.

Center for Advanced Intelligence Project, RIKEN, Chuo-ku, Japan.

Social interaction might prevent or delay dementia, but little is known about the specific effects of various social activity interventions on cognition. This study conducted a single-site randomized controlled trial (RCT) of Photo-Integrated Conversation Moderated by Robots (PICMOR), a group conversation intervention program for resilience against cognitive decline and dementia. In the RCT, PICMOR was compared to an unstructured group conversation condition. Read More

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Dynamic Turning of a Soft Quadruped Robot by Changing Phase Difference.

Front Robot AI 2021 22;8:629523. Epub 2021 Apr 22.

Adaptive Robotics Laboratory, Graduate School of Engineering Science, Osaka University, Toyonaka, Japan.

Dynamic locomotion of a quadruped robot emerges from interaction between the robot body and the terrain. When the robot has a soft body, dynamic locomotion can be realized using a simple controller. This study investigates dynamic turning of a soft quadruped robot by changing the phase difference among the legs of the robot. Read More

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Automation Inner Speech as an Anthropomorphic Feature Affecting Human Trust: Current Issues and Future Directions.

Front Robot AI 2021 23;8:620026. Epub 2021 Apr 23.

Robotics Lab, Department of Engineering, University of Palermo, Palermo, Italy.

This paper aims to discuss the possible role of inner speech in influencing trust in human-automation interaction. Inner speech is an everyday covert inner monolog or dialog with oneself, which is essential for human psychological life and functioning as it is linked to self-regulation and self-awareness. Recently, in the field of machine consciousness, computational models using different forms of robot speech have been developed that make it possible to implement inner speech in robots. Read More

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Signal-Based Self-Organization of a Chain of UAVs for Subterranean Exploration.

Front Robot AI 2021 23;8:614206. Epub 2021 Apr 23.

Inria, CNRS, Université de Lorraine, LORIA, Nancy, France.

Miniature multi-rotors are promising robots for navigating subterranean networks, but maintaining a radio connection underground is challenging. In this paper, we introduce a distributed algorithm, called U-Chain (for Underground-chain), that coordinates a chain of flying robots between an exploration drone and an operator. Our algorithm only uses the measurement of the signal quality between two successive robots and an estimate of the ground speed based on an optic flow sensor. Read More

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Explainable Machine Learning to Predict Successful Weaning Among Patients Requiring Prolonged Mechanical Ventilation: A Retrospective Cohort Study in Central Taiwan.

Front Med (Lausanne) 2021 23;8:663739. Epub 2021 Apr 23.

Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.

The number of patients requiring prolonged mechanical ventilation (PMV) is increasing worldwide, but the weaning outcome prediction model in these patients is still lacking. We hence aimed to develop an explainable machine learning (ML) model to predict successful weaning in patients requiring PMV using a real-world dataset. This retrospective study used the electronic medical records of patients admitted to a 12-bed respiratory care center in central Taiwan between 2013 and 2018. Read More

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Comparative Analysis of Diagnostic Techniques for Melanoma Detection: A Systematic Review of Diagnostic Test Accuracy Studies and Meta-Analysis.

Front Med (Lausanne) 2021 21;8:637069. Epub 2021 Apr 21.

The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.

Melanoma has the highest mortality rate among skin cancers, and early-diagnosis is essential to maximize survival rate. The current procedure for melanoma diagnosis is based on dermoscopy, i.e. Read More

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Current applications of artificial intelligence combined with urine detection in disease diagnosis and treatment.

Transl Androl Urol 2021 Apr;10(4):1769-1779

Andrology Laboratory, West China Hospital, Sichuan University, Chengdu, China.

In recent years, the advantages of artificial intelligence (AI) in data processing and model analysis have emerged in the medical field, enabled by computer technology developments and the integration of multiple disciplines. The application of AI in the medical field has gradually deepened and broadened. Among them, the development of clinical medicine intelligent decision-making is the fastest. Read More

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Acceleration of PDE-Based Biological Simulation Through the Development of Neural Network Metamodels.

Curr Pathobiol Rep 2020 Dec 6;8(4):121-131. Epub 2020 Nov 6.

Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907.

Purpose Of Review: Partial differential equation (PDE) mathematical models of biological systems and the simulation approaches used to solve them are widely used to test hypotheses and infer regulatory interactions based on optimization of the PDE model against the observed data. In this review, we discuss the ability of powerful machine learning methods to accelerate the parametric screening of biophysical informed- PDE systems.

Recent Findings: A major shortcoming in more broad adaptation of PDE-based models is the high computational complexity required to solve and optimize the models and it requires many simulations to traverse the very high-dimensional parameter spaces during model calibration and inference tasks. Read More

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December 2020

PSR: Unified Framework of Parameter-Learning-Based MR Image Superresolution.

J Healthc Eng 2021 21;2021:5591660. Epub 2021 Apr 21.

32021 Troops of the PLA, Beijing 100094, China.

Magnetic resonance imaging has significant applications for disease diagnosis. Due to the particularity of its imaging mechanism, hardware imaging suffers from resolution and reaches its limit, and higher radiation intensity and longer radiation time will cause damage to the human body. The problem is expected to be solved by a superresolution algorithm, especially the image superresolution based on sparse reconstruction has good performance. Read More

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Elevated Levels of Apolipoprotein CIII Increase the Risk of Postprandial Hypertriglyceridemia.

Front Endocrinol (Lausanne) 2021 23;12:646185. Epub 2021 Apr 23.

Department of Internal Medicine, Hebei Medical University, Shijiazhuang, China.

Background: To investigate possible mechanisms of postprandial hypertriglyceridemia (PPT), we analyzed serum lipid and apolipoprotein (Apo) AI, B, CII and CIII levels before and after a high-fat meal.

Methods: The study has been registered with the China Clinical Trial Registry (registration number:ChiCTR1800019514; URL: http://www.chictr. Read More

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Computer Vision for Brain Disorders Based Primarily on Ocular Responses.

Front Neurol 2021 21;12:584270. Epub 2021 Apr 21.

Guangdong-Hong Kong-Macau Institute of Central Nervous System (CNS) Regeneration, Jinan University, Guangzhou, China.

Real-time ocular responses are tightly associated with emotional and cognitive processing within the central nervous system. Patterns seen in saccades, pupillary responses, and spontaneous blinking, as well as retinal microvasculature and morphology visualized via office-based ophthalmic imaging, are potential biomarkers for the screening and evaluation of cognitive and psychiatric disorders. In this review, we outline multiple techniques in which ocular assessments may serve as a non-invasive approach for the early detections of various brain disorders, such as autism spectrum disorder (ASD), Alzheimer's disease (AD), schizophrenia (SZ), and major depressive disorder (MDD). Read More

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Why Build a Robot With Artificial Consciousness? How to Begin? A Cross-Disciplinary Dialogue on the Design and Implementation of a Synthetic Model of Consciousness.

Front Psychol 2021 21;12:530560. Epub 2021 Apr 21.

Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy.

Creativity is intrinsic to Humanities and STEM disciplines. In the activities of artists and engineers, for example, an attempt is made to bring something new into the world through counterfactual thinking. However, creativity in these disciplines is distinguished by differences in motivations and constraints. Read More

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