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    Shanghai Jiao Tong University School of Medicine Reports Findings in Breast Canc er (Predicting axillary response to neoadjuvant chemotherapy using peritumoral a nd intratumoral ultrasound radiomics in breast cancer subtypes)

    48-48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 Oncology - Breast Canc er is the subject of a report. According to news reporting from Shanghai, People ’s Republic of China, by NewsRx journalists, research stated, “To explore machin e learning (ML)-based breast tumor peritumoral (P) and intratumoral ultrasound r adiomics signatures (IURS) for predicting axillary response to neoadjuvant chemo therapy (NAC) in patients with breast cancer (BC) with node-positive. A total of 435 patients were divided into hormone receptor (HR)+/human epidermal growth fa ctor receptor (HER)2-, HER2+, and triple-negative (TN) subtypes.”

    New Study Findings from Colorado State University Illuminate Research in Machine Learning (Observation Definitions and their Implications in Machine Learning-ba sed Predictions of Excessive Rainfall)

    50-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting from Fort Coll ins, Colorado, by NewsRx journalists, research stated, “The implications of defi nitions of excessive rainfall observations on machine learning-model forecast sk ill is assessed using the Colorado State University Machine Learning Probabiliti es (CSU-MLP) forecast system.”

    Data on Robotics Reported by Oluwasina Samuel Dada and Colleagues (Analyzing the emergence of surgical robotics in Africa: a scoping review of pioneering proced ures, platforms utilized, and outcome meta-analysis)

    51-51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 Robotics is the subjec t of a report. According to news reporting out of Lagos, Nigeria, by NewsRx edit ors, research stated, “Surgical practice globally has undergone significant adva ncements with the advent of robotic systems. In Africa, a similar trend is emerg ing with the introduction of robots into various surgical specialties in certain countries.”

    Reports Outline Machine Learning Findings from South Dakota School of Mines and Technology (Geofingerprinting of Coltan Using Handheld Spectroscopic Devices)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating in Rapid City, South Dakota, by NewsRx journalists, research stated, “Following the enactment of the Dodd-Fr ank Act in 2010, specifically Sect. 1502, US companies have been required to rep ort utilizing conflict minerals from the Democratic Republic of Congo (DRC). The conflict mineral coltan, an ore consisting of elements tantalum and niobium, is central to this issue and engenders the need to track and trace the mineral’s s upply chain.”

    Findings from Wake Forest University School of Medicine in Machine Learning Repo rted (Directional Change During Active Diffusion of Viral Ribonucleoprotein Part icles Through Cytoplasm)

    56-57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 Machine Learning have been presented. According to news reporting from Winston-Salem, North Carolina, by NewsRx journalists, research stated, “A mesh of cytoskeletal fibers, consist ing of microtubules, intermediate filaments, and fibrous actin, prevents the Bro wnian diffusion of particles with a diameter larger than 0.10 mu m, such as vesi cular stomatitis virus ribonucleoprotein (RNP) particles, in mammalian cells. Ne vertheless, RNP particles do move in random directions but at a lower rate than Brownian diffusion, which is thermally driven.”

    Sichuan University Reports Findings in Meningitis (Cerebrospinal fluid-induced s table and reproducible SERS sensing for various meningitis discrimination assist ed with machine learning)

    57-58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 Central Nervous System Diseases and Conditions - Meningitis is the subject of a report. According to n ews reporting originating in Sichuan, People’s Republic of China, by NewsRx jour nalists, research stated, “Cerebrospinal fluid (CSF)-based pathogen or biochemic al testing is the standard approach for clinical diagnosis of various meningitis . However, misdiagnosis and missed diagnosis always occur due to the shortages o f unusual clinical manifestations and time-consuming shortcomings, low sensitivi ty, and poor specificity.”

    Findings from Qingdao University of Science and Technology Advance Knowledge in Intelligent Systems (Pose estimation algorithm based on point pair features usin g PointNet + +)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in intelligent systems. According to news reporting out of Qingdao University of Science and T echnology by NewsRx editors, research stated, “This study proposes an innovative deep learning algorithm for pose estimation based on point clouds, aimed at add ressing the challenges of pose estimation for objects affected by the environmen t.” Financial supporters for this research include Natural Science Foundation of Sha ndong Province; Taishan Scholar Foundation of Shandong Province; China Postdocto ral Science Foundation.

    Reports Outline Machine Learning Study Results from Argonne National Laboratory (A Taxonomy of Automatic Differentiation Pitfalls)

    61-61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 Machine Learning. According to news reporting originating in Lemont, Illinois, by NewsR x journalists, research stated, “Automatic differentiation is a popular techniqu e for computing derivatives of computer programs. While automatic differentiatio n has been successfully used in countless engineering, science, and machine learning applications, it can sometimes nevertheless produce surprising results.”

    Fuwai Hospital Reports Findings in Heart Failure (Explainable machine learning a nd online calculators to predict heart failure mortality in intensive care units)

    62-63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 Heart Disorders and Di seases - Heart Failure is the subject of a report. According to news reporting o ut of Beijing, People’s Republic of China, by NewsRx editors, research stated, “ This study aims to develop explainable machine learning models and clinical tool s for predicting mortality in patients in the intensive care unit (ICU) with hea rt failure (HF). Patients diagnosed with HF who experienced their first ICU stay lasting between 24 h and 28 days were selected from the Medical Information Mar t for Intensive Care IV (MIMIC-IV) database.”

    University of Montpellier Reports Findings in Artificial Intelligence (Compariso n between artificial intelligence solution and radiologist for the detection of pelvic, hip and extremity fractures on radiographs in adult using CT as standard of ...)

    64-65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 from Nimes , France, by NewsRx correspondents, research stated, “The purpose of this study was to compare the diagnostic performance of an artificial intelligence (AI) sol ution for the detection of fractures of pelvic, proximal femur or extremity frac tures in adults with radiologist interpretation of radiographs, using standard d ose CT examination as the standard of reference. This retrospective study includ ed 94 adult patients with suspected bone fractures who underwent a standard dose CT examination and radiographs of the pelvis and/or hip and extremities at our institution between January 2022 and August 2023.”