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    General Hospital of Ningxia Medical University Reports Findings in Colon Cancer (Machine learning-based model for CD4+ conventional T cell genes to predict survival and immune responses in colorectal cancer)

    78-79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 - Colon Cancer is the subject of a report. According to news reporting out of Yinchuan, People’s Republic of China, by NewsRx editors, research stated, “Globally, CRC ranks as a principal cause of mortality, with projections indicating a substantial ris e in both incidence and mortality by the year 2040. The immunological responses to cancer heavily rely on the function of CD4Tconv.”

    University of Belgrade Reports Findings in Machine Learning (Integration of 3D-Q SAR, molecular docking, and machine learning techniques for rational design of nicotinamide-based SIRT2 inhibitors)

    79-80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 the subject of a report. According to news reporting out of Belgrade, Serbia, by N ewsRx editors, research stated, “Selective inhibitors of sirtuin-2 (SIRT2) are i ncreasingly recognized as potential therapeutics for cancer and neurodegenerativ e diseases. Derivatives of 5-((3-amidobenzyl)oxy)nicotinamides have been identif ied as some of the most potent and selective SIRT2 inhibitors reported to date ( Ai et al., 2016; Ai et al., 2023, Baroni et al., 2007).”

    New Computational Intelligence Study Findings Reported from Xi’an Jiaotong Liver pool University (Learning Inter and Intra Class Variation With Deep Frequency Factorization Network for Face Anti-spoofing)

    80-80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 - Computational Intelligence. According to news reporting out of Suzhou, People’s Republic of China, by NewsRx editors, research stated, “In this paper, we aim to enhance the generalization ability of single-shot face anti-spoofing tasks in two aspects: 1) we establish a deep frequency factorization network ( DFF-Net) to capture deep frequency information, enabling better discrimination of multiple styles of face spoofing, including both 2D and 3D methods; 2) aided by a sample redistribution strategy, we construct a unified anomaly metric-based supervision system to address unknown face attacks. Specifically, the proposed D FF-Net explicitly extracts spoofing cues from the high, low, and fusion frequency domains by embedding a deep frequency filter module into each frequency branch .”

    Data on Machine Learning Reported by Hossein Sayyad and Colleagues (Prediction and classification of obesity risk based on a hybrid metaheuristic machine learni ng approach)

    81-81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 the subject of a report. According to news reporting from Melbourne, Florida, by N ewsRx journalists, research stated, “As the global prevalence of obesity continu es to rise, it has become a major public health concern requiring more accurate prediction methods. Traditional regression models often fail to capture the comp lex interactions between genetic, environmental, and behavioral factors contribu ting to obesity.”

    New Robotics Data Have Been Reported by Investigators at Shandong University (Positioning Error Compensation Method for Industrial Robots Based On Stacked Ensemble Learning)

    81-82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 Robotics have been pr esented. According to news reporting from Jinan, People’s Republic of China, by NewsRx journalists, research stated, “Due to the advantages of low cost, high flexibility, and large workspace, industrial robot has been considered to be the most promising plan to replace traditional CNC machine tool. However, the low abs olute positioning accuracy of robot is a key factor that restricts further application in high-precision metal-cutting scenarios.”

    Studies from Norwegian University of Science and Technology (NTNU) Describe New Findings in Artificial Intelligence (Artificial Intelligence for Safety and Reli ability: a Descriptive, Bibliometric and Interpretative Review On Machine Learning)

    82-83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 Artificial Intelligence. According to news reporting from Trondheim, Norway, by NewsRx journalists, research stated, “This research provides a structured review of studies that utilize Artificial Intelligence for safety and reliability. In particular, it focuses on Machine Learning techniques to perform fault detection and diagnosis, anomaly detection, system prognosis, reliability analysis, and risk assessment of engineering-related systems across the industry.”

    First Affiliated Hospital of Shandong First Medical University Reports Findings in Artificial Intelligence (Artificial Intelligence- Assisted Perfusion Density a s Biomarker for Screening Diabetic Nephropathy)

    83-84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 Intelligence is the subject of a report. According to news reporting originating in Jinan, People’s Republic of China, by NewsRx journalists, research stated, “To identify a reliable biomarker for screening diabetic nephropathy (DN) using artificial intelligence (AI)- assisted ultra-widefield swept-source optical coherence tomography angiography (UWF SS-OCTA). This study analyzed data from 169 patients (287 e yes) with type 2 diabetes mellitus (T2DM), resulting in 15,211 individual data points.”

    Peter MacCallum Cancer Centre Reports Findings in Robotics (Intraoperative ‘pressure field’ haemodynamic monitoring in a patient with severe aortic regurgitation having laparoscopic robot-assisted colorectal surgery)

    84-85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 subject of a report. According to news originating from Melbourne, Australia, by NewsR x correspondents, research stated, “Laparoscopic robot-assisted colorectal surge ry can pose significant haemodynamic challenges for patients with severe aortic regurgitation. The increased afterload caused by pneumoperitoneum and aortic com pression, along with concurrent factors like hypercarbia, Trendelenburg positioning and ventilatory impairment, can worsen aortic regurgitation, leading to myoc ardial ischaemia and heart failure.”

    Malmo University Researcher Releases New Data on Artificial Intelligence (Exploring the Role of Artificial Intelligence in Internet of Things Systems: A Systema tic Mapping Study)

    85-86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 artificial intelligence is now available. According to news originating from Malmo, Sweden, by NewsRx c orrespondents, research stated, “The use of Artificial Intelligence (AI) in Inte rnet of Things (IoT) systems has gained significant attention due to its potential to improve efficiency, functionality and decision-making.”

    Studies from Deakin University in the Area of Robotics Reported (A Robotic Sting ray Sensor Platform, Featuring a Coaxial Magnetic Drivetrain)

    86-87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 Robotics. According to news reporting out of Geelong, Australia, by NewsRx editors, res earch stated, “Researchers have been looking at biology to create a new generati on of autonomous and unmanned underwater sensor platforms that can be used for a variety of applications. However, there is still room to design unique and more effective systems.”