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    First Affiliated Hospital of Nanchang University Reports Findings in Vertebropla sty (Predicting osteoporotic fractures postvertebroplasty: a machine learning a pproach with a web-based calculator)

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Orthopedic Procedures - Vertebroplasty is the subject of a report. According to news originating from Nanchang, People’s Republic of China, by NewsRx correspondents, research stated, “The aim of this study was to develop and validate a machine learning (ML) mode l for predicting the risk of new osteoporotic vertebral compression fracture (OV CF) in patients who underwent percutaneous vertebroplasty (PVP) and to create a user-friendly web-based calculator for clinical use. A retrospective analysis of patients undergoing percutaneous vertebroplasty: A retrospective analysis of pa tients treated with PVP between June 2016 and June 2018 at Liuzhou People’s Hosp ital was performed.”

    Indian Institute of Technology (IIT) Indore Reports Findings in Support Vector M achines (Brain Age Prediction Using Improved Twin Svr)

    2-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Support Vector Machines. According to news reporting originating from Indore, India, by NewsRx correspondents, research stated, “Twin support vector regression (TSVR) has been widely applied in regression problems. TSVR seeks a pair of e-insensiti ve proximal planes by solving two support vector machine type problems.”

    First Affiliated Hospital of Xi’an Jiaotong University Reports Findings in Antii nfectives (Estimation of linezolid exposure in patients with hepatic impairment using machine learning based on a population pharmacokinetic model)

    3-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Antiinfectives is the subject of a report. According to news originating from Xi ’an, People’s Republic of China, by NewsRx correspondents, research stated, “To investigate the pharmacokinetic changes of linezolid in patients with hepatic im pairment and to explore a method to predict linezolid exposure. Patients with he patic impairment who received linezolid were recruited.”

    Reports Summarize Robotics Study Results from Harbin University [Root Canal Preparation Robot Based On Guiding Strategy for Safe Remote Therapy: System Design and Feasibility Study (2023)]

    4-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news originating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “Dental diseases are related to the physical and mental health of patients. However, the spread of bacteria a nd pathogens in treatment is easy to cause cross-infection between professionals and patients.”

    Research Results from University of Twente Update Knowledge of Artificial Intell igence (Evaluating ChatGPT-4’s historical accuracy: a case study on the origins of SWOT analysis)

    4-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting originating from Ens chede, Netherlands, by NewsRx correspondents, research stated, “In this study we test ChatGPT-4’s ability to provide accurate information about the origins and evolution of SWOT analysis, perhaps the most widely used strategy tool in practi ce worldwide.”

    National Center for Advancing Translational Sciences Reports Findings in Machine Learning (Machine Learning Models Identify Inhibitors of New Delhi Metallo-b-la ctamase)

    5-6页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Rockville, Maryland, b y NewsRx correspondents, research stated, “The worldwide spread of the metallo-b -lactamases (MBL), especially New Delhi metallo-b-lactamase-1 (NDM-1), is threat ening the efficacy of b-lactams, which are the most potent and prescribed class of antibiotics in the clinic. Currently, FDA-approved MBL inhibitors are lacking in the clinic even though many strategies have been used in inhibitor developme nt, including quantitative high-throughput screening (qHTS), fragment-based drug discovery (FBDD), and molecular docking.”

    Reports on Computational Intelligence Findings from Shenzhen University Provide New Insights (Deep Variational Inference Network for Single Image Reflection Rem oval)

    6-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Computational Intelligence. According to news reporting out of Shenzhen, People’s Republic of China, by NewsRx editors, research stated, “Refle ction removal from an image with undesirable reflections is a challenging and il l-posed problem in low-level vision. In recent years, several deep learning appr oaches have been proposed to tackle the task of single image reflection removal (SIRR).”

    Department of Computer Science and Engineering Reports Findings in Artificial In telligence (Towards blockchain based federated learning in categorizing healthca re monitoring devices on artificial intelligence of medical things investigative ...)

    7-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Bengalu ru, India, by NewsRx journalists, research stated, “Categorizing Artificial Inte lligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices, particularly at the server and computational layers, poses a formidable challenge. In this paper , we present a novel methodology for categorizing AIoMT devices through the appl ication of decentralized processing, referred to as ‘Federated Learning’ (FL).”

    Research from Applied Physics Laboratory Broadens Understanding of Machine Learn ing (Prediction of Student Performance Using Random Forest Combined With Naive B ayes)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting from Fez, Morocco, by NewsRx journalists, research stated, “Random forest is a powerful ensemble learning te chnique celebrated for its heightened predictive performance and robustness in h andling complex datasets; nevertheless, it is criticized for its computational e xpense, particularly with a large number of trees in the ensemble.”

    Data on Machine Learning Detailed by Researchers at Northeastern University (Mac hine Learning-assisted Design of Low Elastic Modulus B-type Medical Titanium All oys and Experimental Validation)

    9-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting from Shenyang, People’s Republic of Ch ina, by NewsRx journalists, research stated, “In this study, a method combining physical metallurgical models with machine learning was used to design beta-type medical titanium alloys with low modulus of elasticity in Ti -Mo -Nb -Zr -Sn sy stem alloys. The prediction model used the Extreme Gradient Boosting (XGBoost) a lgorithm to predict the elastic modulus of the alloys, and the Mo equivalent (Mo eq value) and valence electron concentration ratio (e/a), which characterize the elastic modulus, were modeled as feature parameters that can improved the gener alization ability of the model and reduced overfitting.”