Search

A recent study conducted by researchers at Oita College in Japan explores the use of an intelligent system based on fuzzy logic to determine driver anxiety levels. The study compares two models, one with three input parameters (driving experience, in-car environment conditions, and driver age) and another with an additional parameter called accident anxiety state. The results show that the driver's age has a significant impact on anxiety levels, with drivers between 30 and 50 years old experiencing the best outcomes. Additionally, the study finds that an increase in driving experience and in-car environment conditions leads to a decrease in anxiety levels, while an increase in accident anxiety state leads to an increase in anxiety levels. The more complex model with the larger rule base provides better decision-making capabilities. [Extracted from the article]

A recent study conducted by researchers at Sungkyunkwan University in South Korea proposes a new method for detecting leaks in water pipes using machine learning technology. The researchers highlight the importance of efficient management of urban water distribution networks for public health and urban development. They explain that existing leak detection methods are often ineffective, especially in complex and aging pipeline networks. The proposed method, which combines Long Short-Term Memory (LSTM) networks with autoencoders, aims to overcome these limitations and enhance the accuracy and precision of leak detection. The researchers believe that this intelligent system has promising prospects for the future of sustainable water management strategies. [Extracted from the article]

A study conducted by researchers at Sichuan University in Chengdu, China, has developed an intelligent system for predicting lymph node metastasis in colorectal cancer using 3D CT scans. Accurately predicting lymph node metastasis is crucial for developing appropriate treatment plans and improving long-term survival rates for patients with colorectal cancer. The proposed system includes a lymph node detection model and a lymph node metastasis prediction model, which utilize machine learning techniques such as encoder-decoder networks and attention-based multiple instance learning networks. The system achieved an AUC of 75.4% and an accuracy of 73.9%, outperforming physicians specializing in colorectal cancer. The research provides a significant advancement in the field and has strong clinical applicability. [Extracted from the article]

A research report from the School of Computing Science and Engineering in Andhra Pradesh, India discusses the use of machine learning algorithms to predict cardiovascular diseases (CVDs) in their early stages. The researchers propose a hybrid deep-learning intelligent system that utilizes deep learning techniques to identify significant features related to CVDs. The proposed model achieved an accuracy of 99.12% on benchmark datasets, outperforming existing approaches. The researchers conclude that their system can help physicians and radiologists diagnose cardiac patients more accurately. [Extracted from the article]

A recent report from National University Colombia explores the application of machine learning (ML) in detecting anomalous contracts within the oil and gas industry. The study emphasizes the need for efficient information management and effective contract audits to ensure market stability, transparency, fair revenue distribution, corruption mitigation, and industry integrity. The research identifies key contributors to ML advancements in fraud detection, risk mitigation, and cost savings, highlighting the ongoing need for newer ML techniques and further research in anomalous contract detection. The report provides bibliometric analysis and evaluates the contributions of different countries and institutions in this field. [Extracted from the article]

A recent report from Jiangnan University in Wuxi, China discusses the use of intelligent detection equipment in monitoring and ensuring the quality of fresh food throughout the supply chain. The researchers highlight various technologies such as computer vision equipment, electronic nose, smart colorimetric films, hyperspectral imaging, and ultrasonic non-destructive testing, which offer advantages such as high speed, precision, and non-destructive operation. The goal of this research is to minimize quality degradation and potential financial losses in the food industry. For more information, readers can refer to the journal article published in Foods. [Extracted from the article]

A study conducted by investigators from Sichuan University in Chengdu, China, focuses on the use of intelligent human-like algorithms to align solid-state ultrafast laser systems. The researchers propose an approach that combines multiple algorithms to simulate the process of laser alignment and mode-locking. Through validation experiments, they demonstrate that stable mode-locked pulses can be achieved within 40 seconds using this intelligent system. This research provides an efficient solution for automatic laser emitting and stable mode-locking in ultrafast solid-state lasers. [Extracted from the article]

A recent article from the Veterinary Week journal discusses the potential of artificial intelligence (AI) and sensor innovations in improving animal welfare in livestock farming. The researchers emphasize the importance of a human-centric approach, where technology enhances farmers' knowledge and capabilities rather than replacing them. The article explores various topics, including animal welfare indicators, the role of farmers in adopting AI and sensor technologies, ethical and social implications, and future pathways for responsible technology use. The research aims to bridge the gap between technological advancements and the well-being of animals and humans in the context of digital livestock farming. [Extracted from the article]

Nanjing Chenwei Medical Equipment Co. Ltd. has been issued a patent for an intelligent system of ventilator and an operating method. The ventilator includes an alarm system, a monitoring system, a communication unit, and a ventilator control system. The system aims to provide respiratory treatment to patients and alleviate the work pressure of medical staff by automatically adjusting operating modes and parameters. The patent was filed in April 2020 and published online in March 2024. [Extracted from the article]

A recent report from investigators at the Sant Longowal Institute of Engineering and Technology in Punjab, India, highlights the increasing prevalence of heart disease and the need for early prediction. The researchers proposed two intelligent models, HyOPTRF and HyOPTXGBoost Classifier, which achieved high accuracy rates in predicting heart disease using the Statlog HD dataset. The models were validated using the Stratify Kfold Cross-Validation technique and compared to existing models. This research provides valuable insights into the use of hybridized intelligent systems for heart disease prediction. [Extracted from the article]

Researchers at the University of Michigan and the Max Planck Institute for Intelligent Systems have developed a metal-free magnetic gel that could be used to power soft robots, guide medical devices and implants, and enable next-generation drug delivery methods. The gel is made up of carbon-based, magnetic molecules chemically bonded to a gel network, creating a flexible and long-lasting magnet. This gel could be a non-toxic alternative for medical applications and could potentially be modified to degrade in the environment and the human body. The research is funded by various organizations and the gel was built and characterized in laboratories at the University of Michigan. [Extracted from the article]

A report from City University in Petaling Jaya, Malaysia discusses the use of Internet of Things (IoT) technology for remote monitoring and management of chronic diseases. The researchers propose a novel technique using deep learning in an IoT context to handle the complex and diverse data collected from sensors, devices, and wearables. They outline a standardized architecture for these systems, consisting of data acquisition, data processing, and data visualization phases. The study demonstrates the effectiveness of their methodology through a case study involving the development and evaluation of a human-centered intelligent system for remote monitoring of hypertension and diabetic patients. The proposed hybrid algorithm shows superior performance compared to traditional algorithms, achieving an accuracy of 93.5%. The research also addresses the social and ethical implications of their approach and suggests avenues for future research in this field. [Extracted from the article]

A recent study conducted by researchers at the Faculty of Social Sciences and Humanities explores the relationship between human centricity and artificial intelligence (AI) in the field of social sciences. The study highlights the need for further research on the topic, as current studies are limited and varied. The researchers argue that the ethical and person-oriented use of AI in organizations can promote human values and well-being while enhancing skills and performance. The study also suggests practical implications and future directions for research in this area. [Extracted from the article]

A recent study conducted by researchers at the University of Patras in Greece has developed a web-based intelligent system for diagnosing fish diseases. The system utilizes multiple knowledge representation and reasoning methods, including rule-based, case-based, weight-based, and voting. The diagnostic process consists of a general stage and a specialized stage, with the general stage being the most useful as it can be performed on-site in real-time. The system also provides explanations for its decisions and has shown high accuracy in diagnosing fish diseases. [Extracted from the article]

A study conducted in Punjab, India, has developed a fuzzy logic-based system for predicting the risk level of heart disease. The system collects patient medical data and processes it using fuzzy logic soft computing techniques. The study found that the system had an accuracy of 96% and specificity and sensitivity rates of 94.73% and 96.67% respectively. The research highlights the effectiveness of fuzzy logic in the medical field and provides valuable insights into the risk assessment of heart disease. [Extracted from the article]

A recent study conducted by researchers at Shoolini University in Solan, India, explores the use of artificial intelligence (AI) in the food industry. The study highlights the various applications of AI-assisted systems in determining food quality, providing control mechanisms, categorizing foods, and making predictions. The researchers also discuss the integration of sensors in the food industry for applications such as freshness sensing, pathogen detection, and fragrance detection. The study concludes by discussing the advantages and limitations of AI and intelligent systems in the food industry, highlighting the potential for future research and development in this field. [Extracted from the article]

A recent report from the North-Caucasus Federal University in Russia discusses the use of artificial intelligence (AI) technologies in recognizing skin cancer. The researchers propose a multimodal neural network system with a modified cross-entropy loss function that is sensitive to unbalanced dermatological data. By analyzing heterogeneous data and using modified loss functions, the researchers were able to reduce the number of false negative predictions and increase the accuracy of skin cancer recognition. The introduction of weighting factors further improved accuracy compared to the original multimodal systems. The research provides valuable insights into the potential of AI technologies in improving skin cancer diagnosis. [Extracted from the article]

Researchers from Savitribai Phule Pune University in India have developed a new intelligent system for secured tele-robotic surgery. The system, called Fuzzy Logic Trust-Based Access Control Algorithm (FL-TACA), aims to improve the security and usability of telerobotic systems in the context of the Internet of Things (IoT). FL-TACA optimizes energy efficiency, allocates access rights, and reduces vulnerabilities to attacks. The integration of FL-TACA is expected to enhance patient care by enabling intelligent and independent activities that lessen the workload on medical staff. [Extracted from the article]

Researchers from Kaohsiung Medical University Hospital in Taiwan have developed an intelligent systemic circulation monitoring system to evaluate the severity of illness in neonates. The system uses a wireless sensing device to monitor changes in hemoglobin parameters and defines several indexes to assess blood perfusion state. The researchers also applied neural network techniques to classify illness severity. The experimental results showed significant differences in blood perfusion indexes among neonates with different illness severity, and the neural network technique efficiently recognized mild and severe illness severity groups. The proposed system has potential for future clinical applications in evaluating illness severity and other diseases. [Extracted from the article]

Researchers from Qassim University have published a study on sign language recognition, which is an important interface between the hearing and deaf communities. The study addresses challenges such as high false positive rates and computational costs by proposing a stacked encoded deep learning framework that combines artificial intelligence (AI) with the Internet of Things (IoT). The researchers leverage a lightweight backbone model for feature extraction and use stacked autoencoders to refine these features. The proposed model shows notable improvement in accuracy, precision, recall, F1-score, and complexity analysis, outperforming state-of-the-art approaches. The study paves the way for the development of high-performing, IoT-based sign language recognition applications. [Extracted from the article]

Researchers from Beijing Information Science and Technology University have developed an intelligent system to assist surgeons in accurately identifying oral squamous cell carcinomas (OSCC). The system uses fiber optic Raman spectroscopy and deep neural networks to classify six types of oral tissues. The researchers propose a novel classification framework called deep multifeature fusion residual network (DMFF-ResNet) and achieve competitive classification performance compared to state-of-the-art classifiers. The system has been successfully tested offline and demonstrates accuracy, precision, and recall rates of over 92%. The research has been peer-reviewed and the code is available for further exploration. [Extracted from the article]

Keywords: Cloud Computing; Data Acquisition; Emerging Technologies; Information Technology; Intelligent System; Machine Learning; Patent Application EN Cloud Computing Data Acquisition Emerging Technologies Information Technology Intelligent System Machine Learning Patent Application 8615 8615 1 11/06/23 20231110 NES 231110 2023 NOV 10 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- A patent application by the inventor LEE, Wai Hung (Hong Kong, HK), filed on June 30, 2021, was made available online on October 19, 2023, according to news reporting originating from Washington, D.C., by NewsRx correspondents. The system of claim 1, wherein the cloud server is further configured for: training a deep learning model with the event data-base; and using the trained deep learning model to predict the event type and occurrence time of the next event. Cloud Computing, Data Acquisition, Emerging Technologies, Information Technology, Intelligent System, Machine Learning, Patent Application. [Extracted from the article]

Keywords for this news article include: Kerala, India, Asia, Agricultural, Agriculture, Artificial Intelligence, Emerging Technologies, Intelligent System, Machine Learning, Sustainability Research, Sustainable Food and Agriculture, University of Kerala. Keywords: Kerala; India; Asia; Agricultural; Agriculture; Artificial Intelligence; Emerging Technologies; Intelligent System; Machine Learning; Sustainability Research; Sustainable Food and Agriculture EN Kerala India Asia Agricultural Agriculture Artificial Intelligence Emerging Technologies Intelligent System Machine Learning Sustainability Research Sustainable Food and Agriculture 176 176 1 10/30/23 20231102 NES 231102 2023 NOV 2 (NewsRx) -- By a News Reporter-Staff News Editor at Food Weekly News -- Investigators publish new report on Sustainability Research - Sustainable Food and Agriculture. [Extracted from the article]

Biomarkers, Cancer, Carcinomas, Diagnostics and Screening, Emerging Technologies, Health and Medicine, Intelligent System, Machine Learning, Oncology, Oral Squamous Cell Carcinoma, Squamous Cell Carcinoma Keywords: Biomarkers; Cancer; Carcinomas; Diagnostics and Screening; Emerging Technologies; Health and Medicine; Intelligent System; Machine Learning; Oncology; Oral Squamous Cell Carcinoma; Squamous Cell Carcinoma EN Biomarkers Cancer Carcinomas Diagnostics and Screening Emerging Technologies Health and Medicine Intelligent System Machine Learning Oncology Oral Squamous Cell Carcinoma Squamous Cell Carcinoma 302 302 1 10/24/23 20231024 NES 231024 2023 OCT 24 (NewsRx) -- By a News Reporter-Staff News Editor at Clinical Oncology Week -- Investigators publish new report on oral squamous cell carcinoma. [Extracted from the article]

Keywords: Chennai; India; Asia; Basal Ganglia Diseases and Conditions; Brain Diseases and Conditions; Central Nervous System Diseases and Conditions; Emerging Technologies; Health and Medicine; Intelligent System; Machine Learning; Movement Disorders; Nervous System Diseases and Conditions; Neurodegenerative Diseases and Conditions; Parkinson's Disease; Parkinsonian Disorders EN Chennai India Asia Basal Ganglia Diseases and Conditions Brain Diseases and Conditions Central Nervous System Diseases and Conditions Emerging Technologies Health and Medicine Intelligent System Machine Learning Movement Disorders Nervous System Diseases and Conditions Neurodegenerative Diseases and Conditions Parkinson's Disease Parkinsonian Disorders 576 576 1 10/24/23 20231023 NES 231023 2023 OCT 23 (NewsRx) -- By a News Reporter-Staff News Editor at Pain & Central Nervous System Week -- Research findings on Neurodegenerative Diseases and Conditions - Parkinson's Disease are discussed in a new report. According to news reporting out of Chennai, India, by NewsRx editors, research stated, "Parkinson's disease (PD) is a neurodegenerative disorder affecting people worldwide. [Extracted from the article]

Wah Cantonment, Pakistan, Asia, Cancer, Emerging Technologies, Health and Medicine, Intelligent System, Machine Learning, Networks, Neural Networks, Oncology, Skin Cancer, Skin Neoplasms Keywords: Wah Cantonment; Pakistan; Asia; Cancer; Emerging Technologies; Health and Medicine; Intelligent System; Machine Learning; Networks; Neural Networks; Oncology; Skin Cancer; Skin Neoplasms EN Wah Cantonment Pakistan Asia Cancer Emerging Technologies Health and Medicine Intelligent System Machine Learning Networks Neural Networks Oncology Skin Cancer Skin Neoplasms 770 770 1 08/28/23 20230829 NES 230829 2023 AUG 29 (NewsRx) -- By a News Reporter-Staff News Editor at Clinical Oncology Week -- Current study results on Oncology - Skin Cancer have been published. [Extracted from the article]

Keywords: Emerging Technologies; Engineering; Intelligent System; Machine Learning; Mechanical Engineering; Technology; University of Colorado at Boulder EN Emerging Technologies Engineering Intelligent System Machine Learning Mechanical Engineering Technology University of Colorado at Boulder 57 57 1 08/14/23 20230817 NES 230817 2023 AUG 17 (NewsRx) -- By a News Reporter-Staff News Editor at Blood Weekly -- Imagine an iPad that's more than just an iPad-with a surface that can morph and deform, allowing you to draw 3D designs, create haiku that jump out from the screen and even hold your partner's hand from an ocean away. Emerging Technologies, Engineering, Intelligent System, Machine Learning, Mechanical Engineering, Technology, University of Colorado at Boulder. [Extracted from the article]

Keywords: Tamil Nadu; India; Asia; Cancer Research; Algorithms; Emerging Technologies; Intelligent System; Machine Learning EN Tamil Nadu India Asia Cancer Research Algorithms Emerging Technologies Intelligent System Machine Learning 1012 1012 1 07/31/23 20230801 NES 230801 2023 AUG 1 (NewsRx) -- By a News Reporter-Staff News Editor at Women's Health Weekly -- New research on Cancer Research is the subject of a report. Tamil Nadu, India, Asia, Cancer Research, Algorithms, Emerging Technologies, Intelligent System, Machine Learning. [Extracted from the article]

Keywords: Cancer; Carcinomas; Emerging Technologies; Endoscopy; Health and Medicine; Intelligent System; Machine Learning; Minimally Invasive Surgical Procedures; Oncology; Squamous Cell Carcinoma; Surgery EN Cancer Carcinomas Emerging Technologies Endoscopy Health and Medicine Intelligent System Machine Learning Minimally Invasive Surgical Procedures Oncology Squamous Cell Carcinoma Surgery 984 984 1 07/31/23 20230801 NES 230801 2023 JUL 31 (NewsRx) -- By a News Reporter-Staff News Editor at Clinical Oncology Week -- Investigators publish new report on squamous cell carcinoma. Cancer, Carcinomas, Emerging Technologies, Endoscopy, Health and Medicine, Intelligent System, Machine Learning, Minimally Invasive Surgical Procedures, Oncology, Squamous Cell Carcinoma, Surgery. [Extracted from the article]

Shanxi, People's Republic of China, Asia, Emerging Technologies, Health and Medicine, Intelligent System, Machine Learning, Mental Health Diseases and Conditions, Networks, Neural Networks, Psychiatry, Routing Protocol, Schizophrenia Keywords: Shanxi; People's Republic of China; Asia; Emerging Technologies; Health and Medicine; Intelligent System; Machine Learning; Mental Health Diseases and Conditions; Networks; Neural Networks; Psychiatry; Routing Protocol; Schizophrenia EN Shanxi People's Republic of China Asia Emerging Technologies Health and Medicine Intelligent System Machine Learning Mental Health Diseases and Conditions Networks Neural Networks Psychiatry Routing Protocol Schizophrenia 688 688 1 06/19/23 20230623 NES 230623 2023 JUN 19 (NewsRx) -- By a News Reporter-Staff News Editor at Mental Health Weekly Digest -- Researchers detail new data in Mental Health Diseases and Conditions - Schizophrenia. [Extracted from the article]

Keywords: Algorithms; Apnea; Emerging Technologies; Fuzzy Logic; Health and Medicine; Intelligent System; Machine Learning; Obstructive Sleep Apnea; Respiration Disorders; Respiratory Tract Diseases and Conditions; Risk and Prevention; Sleep Apnea; Sleep Disorders EN Algorithms Apnea Emerging Technologies Fuzzy Logic Health and Medicine Intelligent System Machine Learning Obstructive Sleep Apnea Respiration Disorders Respiratory Tract Diseases and Conditions Risk and Prevention Sleep Apnea Sleep Disorders 1217 1217 1 06/12/23 20230616 NES 230616 2023 JUN 12 (NewsRx) -- By a News Reporter-Staff News Editor at Respiratory Therapeutics Week -- Investigators discuss new findings in obstructive sleep apnea. The news editors obtained a quote from the research from University of Vigo: "Two recent works propose the identification of risk factors for the diagnosis of obstructive sleep apnea (OSA). According to the news editors, the research concluded: "This aggregation produces an Apnea Risk indicator for each AHI level, allowing discrimination between OSA and non-OSA cases, along with appropriate recommendations. [Extracted from the article]

Keywords: Cancer; Cyborgs; Emerging Technologies; Health and Medicine; Intelligent System; Lung Cancer; Lung Diseases and Conditions; Lung Neoplasms; Machine Learning; Oncology; Respiratory Tract Diseases and Conditions EN Cancer Cyborgs Emerging Technologies Health and Medicine Intelligent System Lung Cancer Lung Diseases and Conditions Lung Neoplasms Machine Learning Oncology Respiratory Tract Diseases and Conditions 101 101 1 05/02/23 20230502 NES 230502 2023 MAY 2 (NewsRx) -- By a News Reporter-Staff News Editor at Cancer Weekly -- Investigators discuss new findings in lung diseases and conditions. The proposed fused weighted federated deep extreme machine learning model is used for the validation of the best prediction of cancer disease in the smart healthcare industry 5.0. [Extracted from the article]

Keywords for this news article include: New Delhi, India, Asia, Cloud Computing, Cybersecurity, Emerging Technologies, Health Insurance, Health and Medicine, Information Technology, Intelligent System, Legal Issues, Machine Learning, Jamia Hamdard. Keywords: New Delhi; India; Asia; Cloud Computing; Cybersecurity; Emerging Technologies; Health Insurance; Health and Medicine; Information Technology; Intelligent System; Legal Issues; Machine Learning EN New Delhi India Asia Cloud Computing Cybersecurity Emerging Technologies Health Insurance Health and Medicine Information Technology Intelligent System Legal Issues Machine Learning 55 55 1 04/17/23 20230417 NES 230417 2023 APR 23 (NewsRx) -- By a News Reporter-Staff News Editor at Health Insurance Week -- Current study results on Information Technology - Cloud Computing have been published. [Extracted from the article]

Side-by-side rear mower decks are mounted underneath the chassis with three side-by-side mounted forward mower decks mounted on a forward mower deck mounting structure extending forwards from the chassis, each of the five mower decks being independently mounted on a floating mount structure with hydraulic connections for driving the mower blades mounted therewithin. A method for using a smart mower logic system with a lawn mower, comprising the steps of: providing a lawn mower having a smart mower logic system; selectively gathering, obtaining, monitoring, storing, recording, and/or analyzing data associated with components of the lawn mower; and controllably communicating and/or disseminating data with at least one of another system and user. "The present invention is further directed to, in one embodiment, a method for using a smart mower logic system with a lawn mower, comprising, consisting essentially of, and/or consisting of the steps of: (a) providing a lawn mower having a smart mower logic system; (b) selectively gathering, obtaining, monitoring, storing, recording, and/or analyzing data associated with components of the lawn mower; and (c) controllably communicating and/or disseminating data with at least one of another system and user. [Extracted from the article]

Keywords: Drugs and Therapies; Emerging Technologies; Intelligent Computing; Intelligent System; Machine Learning; Mathematics; Personalized Medicine; Personalized Therapy; Polynomial EN Drugs and Therapies Emerging Technologies Intelligent Computing Intelligent System Machine Learning Mathematics Personalized Medicine Personalized Therapy Polynomial 1407 1407 1 04/03/23 20230407 NES 230407 2023 APR 7 (NewsRx) -- By a News Reporter-Staff News Editor at Drug Week -- Single-cell analysis is a powerful biomedical technique used in various fields of biology and medicine to identify rare cell populations, track cell development and differentiation, understand disease mechanisms and develop personalized therapies, but it generates large amounts of data that can be difficult to manage. Keywords for this news article include: Polynomial, Mathematics, Machine Learning, Intelligent System, Drugs and Therapies, Personalized Therapy, Emerging Technologies, Intelligent Computing, Personalized Medicine. [Extracted from the article]

This research suggested an intelligent system for diabetic patient tracking based on machine learning (ML). Keywords: Cyborgs; Emerging Technologies; Health and Medicine; Intelligent System; Machine Learning EN Cyborgs Emerging Technologies Health and Medicine Intelligent System Machine Learning 47 47 1 03/27/23 20230327 NES 230327 2023 MAR 27 (NewsRx) -- By a News Reporter-Staff News Editor at Diabetes Week -- A new study on artificial intelligence is now available. [Extracted from the article]

Keywords: COVID-19; Coronavirus; Deep Learning; Diagnostics and Screening; Emerging Technologies; Health and Medicine; Intelligent System; Machine Learning; RNA Viruses; Risk and Prevention; SARS-CoV-2; Severe Acute Respiratory Syndrome Coronavirus 2; Viral; Virology EN COVID-19 Coronavirus Deep Learning Diagnostics and Screening Emerging Technologies Health and Medicine Intelligent System Machine Learning RNA Viruses Risk and Prevention SARS-CoV-2 Severe Acute Respiratory Syndrome Coronavirus 2 Viral Virology 805 805 1 03/23/23 20230320 NES 230320 2023 MAR 26 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx COVID-19 Weekly -- Investigators publish new report on COVID-19. COVID-19, Coronavirus, Diagnostics and Screening, Emerging Technologies, Health and Medicine, Intelligent System, Deep Learning, Machine Learning, RNA Viruses, Risk and Prevention, SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2, Viral, Virology. [Extracted from the article]

Keywords: Dental Caries; Dental Cavities; Dental Diseases and Conditions; Dentistry; Emerging Technologies; Health and Medicine; Intelligent System; Machine Learning; Tooth Decay; Tooth Demineralization; Tooth Diseases and Conditions EN Dental Caries Dental Cavities Dental Diseases and Conditions Dentistry Emerging Technologies Health and Medicine Intelligent System Machine Learning Tooth Decay Tooth Demineralization Tooth Diseases and Conditions 1337 1337 1 03/23/23 20230317 NES 230317 2023 MAR 17 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Current study results on dental caries have been published. Dental Caries, Dental Cavities, Dental Diseases and Conditions, Dentistry, Emerging Technologies, Health and Medicine, Intelligent System, Machine Learning, Tooth Decay, Tooth Demineralization, Tooth Diseases and Conditions. [Extracted from the article]

The system of claim 17, wherein: each detection device further includes a pressure sensor, the sensed data includes data from the pressure sensor, and the analyzing further includes analyzing data from the pressure sensor. The method of claim 19, wherein: the one or more sensors further comprise a humidity sensor and a pressure sensor, and the analyzing the received data further includes analyzing data from the humidity sensor and the pressure sensor." The method of claim 2, wherein: the one or more sensors further comprise a humidity sensor and a pressure sensor, and the analyzing the received data further includes analyzing data from the humidity sensor and the pressure sensor. [Extracted from the article]

Keywords: Changsha; People's Republic of China; Asia; Biological Products; COVID-19; COVID-19 Model; Coronavirus; Cyborgs; Disease Model; Emerging Technologies; Epidemiology; Health and Medicine; Immunization; Intelligent System; Machine Learning; RNA Viruses; Risk and Prevention; SARS-CoV-2; Severe Acute Respiratory Syndrome Coronavirus 2; Vaccines; Viral; Virology EN Changsha People's Republic of China Asia Biological Products COVID-19 COVID-19 Model Coronavirus Cyborgs Disease Model Emerging Technologies Epidemiology Health and Medicine Immunization Intelligent System Machine Learning RNA Viruses Risk and Prevention SARS-CoV-2 Severe Acute Respiratory Syndrome Coronavirus 2 Vaccines Viral Virology 2023 FEB 12 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx COVID-19 Weekly -- New research on Coronavirus - COVID-19 is the subject of a report. Machine learning predicts vaccine demand and conducts sentiment analysis on vaccine reviews to help companies improve vaccine quality.". [Extracted from the article]

Keywords for this news article include: SRM Institute of Science and Technology, Dentistry, Machine Learning, Intelligent System, Drugs and Therapies, Health and Medicine, Personalized Therapy, Emerging Technologies, Personalized Medicine, Artificial Intelligence. Artificial Intelligence, Dentistry, Drugs and Therapies, Emerging Technologies, Health and Medicine, Machine Learning, Personalized Medicine, Personalized Therapy, Intelligent System Keywords: Artificial Intelligence; Dentistry; Drugs and Therapies; Emerging Technologies; Health and Medicine; Intelligent System; Machine Learning; Personalized Medicine; Personalized Therapy EN Artificial Intelligence Dentistry Drugs and Therapies Emerging Technologies Health and Medicine Intelligent System Machine Learning Personalized Medicine Personalized Therapy 2023 FEB 3 (NewsRx) -- By a News Reporter-Staff News Editor at Drug Week -- Researchers detail new data in personalized medicine. [Extracted from the article]

They may be able to prevent the two main oral diseases (tooth decay and gum diseases) with minimal additional cost. Keywords: Algorithms; Asia; Bacterial Infections and Mycoses; Blood Cells; Cell Research; Clinical Research; Clinical Trials and Studies; Dental Caries; Dental Cavities; Dentistry; Diagnostics and Screening; Drugs and Therapies; Emerging Technologies; Gingival Diseases and Conditions; Gingivitis; Health and Medicine; Hong Kong; Inflammation; Intelligent System; Machine Learning; Mouth Diseases and Conditions; Network Technologies; Network Technology; Networks; Neural Networks; Periodontal Diseases and Conditions; Periodontitis; Periodontology; Risk and Prevention; Stomatognathic Diseases and Conditions; Technology; Technology - Network Technology; Tooth Decay EN Algorithms Asia Bacterial Infections and Mycoses Blood Cells Cell Research Clinical Research Clinical Trials and Studies Dental Caries Dental Cavities Dentistry Diagnostics and Screening Drugs and Therapies Emerging Technologies Gingival Diseases and Conditions Gingivitis Health and Medicine Hong Kong Inflammation Intelligent System Machine Learning Mouth Diseases and Conditions Network Technologies Network Technology Networks Neural Networks Periodontal Diseases and Conditions Periodontitis Periodontology Risk and Prevention Stomatognathic Diseases and Conditions Technology Technology - Network Technology Tooth Decay 2023 FEB 2 (NewsRx) -- By a News Reporter-Staff News Editor at Clinical Trials Week -- Staff editors report on the newly launched clinical trial, NCT05685355, which has the following summary description: "Background The most common dental diseases are tooth decay (caries) and gum disease (gingivitis and periodontitis). Introduction The most prevalent dental diseases are tooth decay (caries) and gum diseases (gingivitis and periodontitis). [Extracted from the article]