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    First Affiliated Hospital of Guangxi Medical University Reports Findings in Panc reatic Cancer (Noninvasive prediction of lymph node metastasis in pancreatic can cer using an ultrasound-based clinicoradiomics machine learning model)

    107-108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 - Pancreatic Cancer is the subject of a report. According to news reporting from Nanning, Peo ple’s Republic of China, by NewsRx journalists, research stated, “This study was designed to explore and validate the value of different machine learning models based on ultrasound image-omics features in the preoperative diagnosis of lymph node metastasis in pancreatic cancer (PC). This research involved 189 individua ls diagnosed with PC confirmed by surgical pathology (training cohort: n = 151; test cohort: n = 38), including 50 cases of lymph node metastasis.” Financial support for this research came from Self-funded scientific research pr oject of Guangxi Zhuang Autonomous Region Health Committee.

    Research from Faculty of Dental Medicine Provides New Data on Artificial Intelli gence (The Advent of Artificial Intelligence in Oral Pathology)

    108-109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 artific ial intelligence. According to news originating from the Faculty of Dental Medic ine by NewsRx correspondents, research stated, “The medical and dental fields ar e experiencing a significant shift in approach thanks to the integration of arti ficial intelligence (AI).” The news journalists obtained a quote from the research from Faculty of Dental M edicine: “With a vast influx of patient data, there is a pressing need for sophi sticated software capable of organizing and preserving this information effectiv ely. The emergence of AI-driven models and computer vision techniques for identi fying patterns in clinical and histopathological images related to oral patholog y lesions holds promise for enhancing diagnostic accuracy and prognostic predict ions. While microscopic morphology remains the gold standard in diagnostic patho logy, its reliance on individual pathologists introduces variability. Consequent ly, AI presents a potential solution for achieving consistent and more precise d iagnoses. Moreover, by analyzing extensive data from the patients’ medical chart the artificial neural network could provide a presumptive diagnosis and an inva luable screening tool in predicting individual risk for oral pathology based on information regarding their risk factors, systemic diseases and conditions and c linical pathological data. Within oral and maxillofacial pathology, AI stands po ised to elevate diagnostic accuracy, tailor treatment, and ultimately enhance pa tient outcomes.”

    Data from Technical University Munich (TU Munich) Advance Knowledge in Machine L earning (Porosity Prediction In Laser-based Powder Bed Fusion of Polyamide 12 Us ing Infrared Thermography and Machine Learning)

    109-110页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting out of Garching, Germany, by NewsRx edi tors, research stated, “Achieving precise control in laser-based powder bed fusi on of polymers is crucial for ensuring the structural integrity of aerospace and automotive components. Closed-loop feedback control systems using process monit oring techniques, such as infrared thermography, have the potential to provide r eliable production by controlling the temperature of the melt.” Financial support for this research came from Projekt DEAL.

    Reports from South Dakota State University Describe Recent Advances in Artificia l Intelligence (Integrating Genomics, Phenomics, and Deep Learning Improves the Predictive Ability for Fusarium Head Blight-related Traits In Winter Wheat)

    110-111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 out of Brookin gs, South Dakota, by NewsRx editors, research stated, “Fusarium head blight (FHB ) remains one of the most destructive diseases of wheat (Triticum aestivum L.), causing considerable losses in yield and end-use quality. Phenotyping of FHB res istance traits, Fusarium-damaged kernels (FDK), and deoxynivalenol (DON), is eit her prone to human biases or resource expensive, hindering the progress in breed ing for FHB-resistant cultivars.” Financial supporters for this research include Agricultural Research Service, Na tional Institute of Food and Agriculture.

    Anhui University Researcher Describes Research in Pattern Recognition and Artifi cial Intelligence (Incomplete Footprint Retrieval Based on Multi-Scale Feature O rthogonal Fusion)

    111-112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 pattern recog nition and artificial intelligence have been published. According to news report ing out of Hefei, People’s Republic of China, by NewsRx editors, research stated , “At present, footprint image retrieval based on deep learning mainly focuses o n complete footprint, but many of the footprints obtained in the field of public safety and criminal investigation are incomplete forms, Therefore, the feature analysis of incomplete footprint has important practical significance.” Funders for this research include Key Research And Development Projects in Anhui Province; Major Project of Natural Science Research in Anhui Universities.

    New Robotics Data Have Been Reported by Investigators at Jilin University (Desig n and Control of an Untethered Robotic Tuna Based On a Hydraulic Soft Actuator)

    112-113页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting originating in Changchun, People’s Republi c of China, by NewsRx journalists, research stated, “In this study, a hydraulic autonomous soft robotic tuna (HasorTuna) was developed from the perspective of b ridging technology and physiology. HasorTuna processes a muscle-inspired hydraul ic soft actuator.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    University of Zaragoza Reports Findings in Artificial Intelligence (Mental healt h in the virtual world: Challenges and opportunities in the metaverse era)

    113-113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 from Zaragoza, Spain, by NewsRx journalists, research stated, “Current rates of mental illness are wor risome. Mental illness mainly affects females and younger age groups.” The news correspondents obtained a quote from the research from the University o f Zaragoza, “The use of the internet to deliver mental health care has been grow ing since 2020 and includes the implementation of novel mental health treatments using virtual reality, augmented reality, and artificial intelligence. A new th ree dimensional digital environment, known as the metaverse, has emerged as the next version of the Internet. Artificial intelligence, augmented reality, and vi rtual reality will create fully immersive, experiential, and interactive online environments in the metaverse. People will use a unique avatar to do anything th ey do in their ‘real’ lives, including seeking and receiving mental health care. ”

    New Machine Learning Data Have Been Reported by Investigators at East China Univ ersity of Science and Technology (Ap-gan-dnn Based Creep Fracture Life Predictio n for 7050 Aluminum Alloy)

    114-114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. According to news reporting originating in Shanghai, People’s Re public of China, by NewsRx journalists, research stated, “7050 aluminum alloy ha s high strength and excellent fracture toughness. However, damage can be caused to the 7050 aluminum alloy by creep at elevated temperatures.” Financial support for this research came from National Key Research and Developm ent Program of China.

    Findings from University of York Provide New Insights into Machine Learning (Ene rgy Consumption of Machine Learning Enhanced Open RAN: A Comprehensive Review)

    115-115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 ar tificial intelligence. According to news reporting originating from York, United Kingdom, by NewsRx correspondents, research stated, “The Open Radio Access Netw ork (RAN) emerges as a revolutionary architecture promising unprecedented levels of openness, flexibility, and intelligence within radio access networks.” Financial supporters for this research include Engineering And Physical Sciences Research Council United Kingdom, Impact Acceleration Accounts; Department of Sc ience, Innovation And Technology, U.K., Through Yorkshire Open-ran.

    Alexandria University Reports Findings in Artificial Intelligence (Evaluation of the accuracy of automated tooth segmentation of intraoral scans using artificia l intelligence-based software packages)

    115-116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 Alexand ria, Egypt, by NewsRx journalists, research stated, “The accuracy of tooth segme ntation in intraoral scans is crucial for performing virtual setups and applianc e fabrication. Hence, the objective of this study was to estimate and compare th e accuracy of automated tooth segmentation generated by the artificial intellige nce of dentOne software (DIORCO Co, Ltd, Yongin, South Korea) and Medit Ortho Si mulation software (Medit Corp, Seoul, South Korea).”