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    Data on Machine Learning Reported by Apostolos Ziakopoulos and Colleagues (Analy sis of harsh braking and harsh acceleration occurrence via explainable imbalance d machine learning using highresolution smartphone telematics and traffic data)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Athens, Gree ce, by NewsRx editors, the research stated, “Harsh driving eventssuch as harsh brakings (HBs) and harsh accelerations (HAs) are promising Surrogate Safety Meas ures,already extensively utilised in road safety research. However, their occur rence relative to normal drivingconditions has not been the explicit target of research, as they are typically used as inputs for crashprediction.”

    Data on Artificial Intelligence Reported by Bisar Ergun and Colleagues[Assessment of readability, reliability, and quality of Chat-GPT®, BARD®, Gemini®, Copilot®, Perplexity® responses on palliative care]

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting out of Tekirdag, Turke y, by NewsRx editors, research stated, “There is no study thatcomprehensively e valuates data on the readability and quality of ‘palliative care’ information pr ovided byartificial intelligence (AI) chatbots ChatGPT®, Bard®, Gemini®, Copilo t®, Perplexity®. Our study is anobservational and cross-sectional original rese arch study.”

    Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University R eports Findings in Venous Thromboembolism (Identification of key risk factors fo r venous thromboembolism in urological inpatients based on the Caprini scale and …)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cardiovascular Disease s and Conditions - Venous Thromboembolismis the subject of a report. According to news reporting out of Zhejiang, People’s Republic of China, byNewsRx editors , research stated, “To identify the key risk factors for venous thromboembolism (VTE) inurological inpatients based on the Caprini scale using an interpretable machine learning method. VTE riskdata of urological inpatients were obtained b ased on the Caprini scale in the case hospital.”

    Qingdao Municipal Hospital Reports Findings in Gene Therapy (Explorationof the shared diagnostic genes and mechanisms between periodontitis and primary Sjogren ’s syndrome by integrated comprehensive bioinformatics analysis and machine lear ning)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Gene T herapy is the subject of a report. According tonews reporting originating from Qingdao, People’s Republic of China, by NewsRx correspondents, researchstated, “Accumulating evidence has showed a bidirectional link between periodontitis (PD ) and primarySjogren’s syndrome (pSS), but the mechanisms of their occurrence r emain unclear. Hence, this studyaimed to investigate the shared diagnostic gene s and potential mechanisms between PD and pSS usingbioinformatics methods.”

    Reports from Hong Kong University of Science and Technology AdvanceKnowledge in Machine Learning (Optimal Design of an Interior Permanent Magnet Synchronous Mo tor for Electric Vehicle Applications Using a Machine Learning-Based Surrogate M odel)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsoriginating from Guangzhou, People ’s Republic of China, by NewsRx correspondents, research stated,“This paper pre sents an innovative design for an interior permanent magnet synchronous motor (I PMSM),targeting enhanced performance for electric vehicle (EV) applications.”Financial supporters for this research include Guangzhou-hkust (Gz) Joint Fundin g Program; GuangdongBasic And Applied Basic Research Foundation.

    Tianjin Institute of Environmental and Operational Medicine ReportsFindings in Osteosarcomas (Development and experimental validation of hypoxia-related gene s ignatures for osteosarcoma diagnosis and prognosis based on WGCNA and machine .. .)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Osteosarcom as is the subject of a report. Accordingto news reporting from Tianjin, People’ s Republic of China, by NewsRx journalists, research stated,“Osteosarcoma (OS) is the most common primary malignant tumour of the bone with high mortality. Here, we comprehensively analysed the hypoxia signalling in OS and further construc ted novel hypoxia-relatedgene signatures for OS prediction and prognosis.”

    Fujian Cancer Hospital Reports Findings in Personalized Medicine (Multimodal MRI -based deep-radiomics model predicts response in cervical cancer treated with ne oadjuvant chemoradiotherapy)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report.According to news reporting or iginating in Fujian, People’s Republic of China, by NewsRx journalists,research stated, “Platinum-based neoadjuvant chemotherapy (NACT) followed by radical hys terectomyhas been proposed as an alternative treatment approach for cervical ca ncer (CC) in stage Ib2-IIb, whohad a strong desire to be treated with surgery. Our study aims to develop a model based on multimodalMRI by using radiomics and deep learning to predict the treatment response in CC patients treated withneo adjuvant chemoradiotherapy (NACRT).”

    Researchers from South China Agricultural University Detail Findings in Computat ional Intelligence (Broad Recommender System: an Efficient Nonlinear Collaborati ve Filtering Approach)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning - Compu tational Intelligence are presented in a newreport. According to news reporting from Guangzhou, People’s Republic of China, by NewsRx journalists,research sta ted, “Recently, Deep Neural Networks (DNNs) have been largely utilized in Collab orativeFiltering (CF) to produce more accurate recommendation results due to th eir ability of extracting thenonlinear relationships in the user-item pairs. Ho wever, the DNNs-based models usually encounter highcomputational complexity, i. e., consuming very long training time and storing huge amount of trainableparam eters.”

    University of Rennes Reports Findings in Heart Failure (Characterizationof card iac resynchronization therapy response through machine learning and personalized models)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Heart Failure is the subject of areport. According to news reporting f rom Rennes, France, by NewsRx journalists, research stated, “Thecharacterizatio n and selection of heart failure (HF) patients for cardiac resynchronization the rapy (CRT)remain challenging, with around 30% non-responder rate despite following current guidelines. This studyaims to propose a novel hybrid approach, integrating machine-learning and personalized models, to identifyexpl ainable phenogroups of HF patients and predict their CRT response.”

    Southern Medical University Reports Findings in Artificial Intelligence[Artificial intelligence improves the diagnosis of human leukocyte antigen (HLA)- B27-negative axial spondyloarthritis based on multi-sequence magnetic resonance imaging and …]

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating from Guang zhou, People’s Republic of China, by NewsRx correspondents, researchstated, “Ax ial spondyloarthritis (axSpA) is frequently diagnosed late, particularly in huma n leukocyteantigen (HLA)-B27-negative patients, resulting in a missed opportuni ty for optimal treatment. Thisstudy aimed to develop an artificial intelligence (AI) tool, termed NegSpA-AI, using sacroiliac joint (SIJ)magnetic resonance im aging (MRI) and clinical SpA features to improve the diagnosis of axSpA in HLA-B27-negative patients.”