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    University of Utah Reports Findings in Machine Learning (Bayesian Analysis Revea ls the Key to Extracting Pair Potentials from Neutron Scattering Data)

    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 Machine Learning is th e subject of a report. According to newsreporting from Salt Lake City, Utah, by NewsRx journalists, research stated, “Learning interaction potentialsfrom the structure factor is frequently seen as impractical due to accuracy constraints o f neutron and X-rayscattering experiments. This study reexamines this historic inverse problem using Bayesian inference andprobabilistic machine learning on a Mie fluid to elucidate how measurement noise impacts the accuracy ofrecovered potentials.”

    University of Utah Reports Findings in Machine Learning (Bayesian Analysis Revea ls the Key to Extracting Pair Potentials from Neutron Scattering Data)

    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 Machine Learning is th e subject of a report. According to newsreporting from Salt Lake City, Utah, by NewsRx journalists, research stated, “Learning interaction potentialsfrom the structure factor is frequently seen as impractical due to accuracy constraints o f neutron and X-rayscattering experiments. This study reexamines this historic inverse problem using Bayesian inference andprobabilistic machine learning on a Mie fluid to elucidate how measurement noise impacts the accuracy ofrecovered potentials.”

    Studies from University of Valladolid Reveal New Findings on Artificial Intellig ence (Opportunities and Challenges of Artificial Intelligence Applied to Identit y and Access Management in Industrial Environments)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingout of Valladolid, Spain, by News Rx editors, research stated, “The integration of artificial intelligence(AI)tec hnologies into identity and access management (IAM) systems has greatly improved access control andmanagement, offering more robust, adaptive, and intelligent solutions than traditional methods.”

    Studies from University of Valladolid Reveal New Findings on Artificial Intellig ence (Opportunities and Challenges of Artificial Intelligence Applied to Identit y and Access Management in Industrial Environments)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingout of Valladolid, Spain, by News Rx editors, research stated, “The integration of artificial intelligence(AI)tec hnologies into identity and access management (IAM) systems has greatly improved access control andmanagement, offering more robust, adaptive, and intelligent solutions than traditional methods.”

    Reports Summarize Machine Learning Findings from Guangxi University of Chinese M edicine (Rapid Identification of Potential Depressant Compounds In Jasmine Leave s Using Uhplc-q-tof-ms/ms Coupled With Machine Learning Techniques)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Nanning, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Thefollowing is an abstract of the study. The objective of this study was to identify the che mical constituentsof Jasmine Leaves and predict their potential sedative effect s.”

    Reports Summarize Machine Learning Findings from Guangxi University of Chinese M edicine (Rapid Identification of Potential Depressant Compounds In Jasmine Leave s Using Uhplc-q-tof-ms/ms Coupled With Machine Learning Techniques)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Nanning, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Thefollowing is an abstract of the study. The objective of this study was to identify the che mical constituentsof Jasmine Leaves and predict their potential sedative effect s.”

    Collaborative Innovation Center for Cancer Medicine Reports Findings in Personal ized Medicine (Integrative multi-omics and machine learning approach reveals tum or microenvironment-associated prognostic biomarkers in ovarian cancer)

    74-75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 originating from Guangzhou, People’s Republic of China, by NewsRx correspondents,research s tated, “Ovarian cancer (OC) is a globally prevalent malignancy with significant morbidity andmortality, yet its heterogeneity poses challenges in treatment and prognosis. Recognizing the crucial roleof the tumor microenvironment (TME) in OC progression, this study leverages integrative multi-omicsand machine learnin g to uncover TME-associated prognostic biomarkers, paving the way for more personalized therapeutic interventions.”

    Collaborative Innovation Center for Cancer Medicine Reports Findings in Personal ized Medicine (Integrative multi-omics and machine learning approach reveals tum or microenvironment-associated prognostic biomarkers in ovarian cancer)

    74-75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 originating from Guangzhou, People’s Republic of China, by NewsRx correspondents,research s tated, “Ovarian cancer (OC) is a globally prevalent malignancy with significant morbidity andmortality, yet its heterogeneity poses challenges in treatment and prognosis. Recognizing the crucial roleof the tumor microenvironment (TME) in OC progression, this study leverages integrative multi-omicsand machine learnin g to uncover TME-associated prognostic biomarkers, paving the way for more personalized therapeutic interventions.”

    Maggiore della Carita Hospital Reports Findings in Acute Coronary Syndrome (Stra tification of Early Arrhythmic Risk in Patients Admitted for Acute Coronary Synd rome: The Role of the Machine Learning-Derived 'PRAISE Score.')

    75-76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 - Acute Coronary Syndrome is the subjectof a report. According to news o riginating from Novara, Italy, by NewsRx correspondents, research stated,“The P RAISE (PRedicting with Artificial Intelligence riSk aftEr acute coronary syndrom e) score is amachine learning-based model for predicting 1-year adverse cardiov ascular or bleeding events in patientswith acute coronary syndrome (ACS). Its r ole in predicting arrhythmic complications in ACS remainsunknown.”

    Maggiore della Carita Hospital Reports Findings in Acute Coronary Syndrome (Stra tification of Early Arrhythmic Risk in Patients Admitted for Acute Coronary Synd rome: The Role of the Machine Learning-Derived 'PRAISE Score.')

    75-76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 - Acute Coronary Syndrome is the subjectof a report. According to news o riginating from Novara, Italy, by NewsRx correspondents, research stated,“The P RAISE (PRedicting with Artificial Intelligence riSk aftEr acute coronary syndrom e) score is amachine learning-based model for predicting 1-year adverse cardiov ascular or bleeding events in patientswith acute coronary syndrome (ACS). Its r ole in predicting arrhythmic complications in ACS remainsunknown.”