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 - Melanoma is the subject of a report. According to news originating from Chongqing, People's Republic of China, by NewsRx correspondents, research stated, "The emergence of immunotherapy has changed the treatment modality for melanoma and prolonged the survival of many patients. However, a handful of patients remain unresponsive t o immunotherapy and effective tools for early identification of this patient pop ulation are still lacking." Our news journalists obtained a quote from the research from the Third Affiliate d Hospital of Chongqing Medical University, "Researchers have developed machine learning algorithms for predicting immunotherapy response in melanoma, but their predictive accuracy has been inconsistent. Therefore, the present systematic re view and meta-analysis was performed to comprehensively evaluate the predictive accuracy of machine learning in melanoma response to immunotherapy. Relevant stu dies were searched in PubMed, Web of Sciences, Cochrane Library, and Embase from their inception to July 30, 2022. The risk of bias and applicability of the inc luded studies were assessed using the Prediction Model Risk of Bias Assessment T ool (PROBAST). Meta-analysis was performed on R4.2.0. A total of 36 studies cons isting of 30 cohort studies and 6 case-control studies were included. These stud ies were mainly published between 2019 and 2022 and encompassed 75 models. The o utcome measures of this study were progression-free survival (PFS), overall surv ival (OS), and treatment response. The pooled c-index was 0.728 (95% CI: 0.629-0.828) for PFS in the training set, 0.760 (95%CI: 0.728-0 .792) and 0.819 (95%CI: 0.757-0.880) for treatment response in the training and validation sets, respectively, and 0.746 (95%CI: 0.721 -0.771) and 0.700 (95%CI: 0.677-0.724) for OS in the training and v alidation sets, respectively. Machine learning has considerable predictive accur acy in melanoma immunotherapy response and prognosis, especially in the former."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Sous se, Tunisia, by NewsRx correspondents, research stated, "This study proposes a n ovel approach for objective muscle exertion assessment in industrial settings, c ombining force myography (FMG) and support vector machines (SVM), bridging the g ap between subjective and objective assessments while addressing limitations of existing technologies. To improve FMG data quality, an in-house-built conditioni ng interface for force-sensing resistor (FSR) sensor was developed, enhancing se nsitivity and reducing drift." Financial support for this research came from ANPR.
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 reporting out of Islamabad, Pakistan, by Ne wsRx editors, research stated, "The practice of adding new features or changing current features to enhance a machine-learning model's performance is known as f eature engineering. It increases the prediction potential of machine learning an d aids in revealing the data's underlying patterns." Financial supporters for this research include Deanship of Scientific Research A t Imam Mohammad Ibn Saud Islamic University.
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 Artificial In telligence have been published. According to news reporting from Munich, Germany , by NewsRx journalists, research stated, "Nanophotonic devices excel at confini ng light into intense hot spots of electromagnetic near fields, creating excepti onal opportunities for light-matter coupling and surface-enhanced sensing. Recen tly, all-dielectric metasurfaces with ultrasharp resonances enabled by photonic bound states in the continuum (BICs) have unlocked additional functionalities fo r surface-enhanced biospectroscopy by precisely targeting and reading out the mo lecular absorption signatures of diverse molecular systems." Funders for this research include European Research Council (ERC), German Resear ch Foundation (DFG), Bavarian program Solar Technologies Go Hybrid (SolTech), Ce nter for NanoScience (CeNS), European Research Council (ERC), European Research Council (ERC).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Ho Chi Minh C ity, Vietnam, by NewsRx journalists, research stated, "This paper aims to propos e a new hybrid Machine Learning (ML) with Bayesian Optimization (BO) methods for predicting the patch loading resistance, P u of longitudinally unstiffened plat e girders. A total of 354 tests of the unstiffened plate girder under patch load ing are collected and used for the training and testing to establish the propose d models." Financial support for this research came from National Foundation for Science & Technology Development (NAFOSTED).
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 originating in Lanzhou, People's Repu blic of China, by NewsRx journalists, research stated, "Timely, accurate, and ra pid grasping of dynamic change information in magnetic actuation soft robots is essential for advancing their evolution toward intelligent, integrated, and mult ifunctional systems. However, existing magnetic-actuation soft robots lack effec tive functions for integrating sensing and actuation." The news reporters obtained a quote from the research from the Lanzhou Universit y of Technology, "Herein, we demonstrate the integration of distributed fiber op tics technology with advanced-programming 3D printing techniques. This integrati on provides our soft robots unique capabilities such as integrated sensing, prec ise shape reconstruction, controlled deformation, and sophisticated magnetic nav igation. By utilizing an improved magneto-mechanical coupling model and an advan ced inversion algorithm, we successfully achieved real-time reconstruction of co mplex structures, such as 'V', 'N', and 'M' shapes and gripper designs, with a n otable response time of 34 ms. Additionally, our robots demonstrate proficiency in magnetic navigation and closed-loop deformation control, making them ideal fo r operation in confined or obscured environments."
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 originating from Southern University of Science and Technology (SUSTech) by NewsRx correspondents, research stated, "A numerical approach assisted by machine learning was developed for screening and optimizing soil remediation strategies." Funders for this research include National Key Research And Development Program of China; Program For Guangdong Introducing Innovative And Entrepreneurial Teams ; High Level of Special Funds. Our news journalists obtained a quote from the research from Southern University of Science and Technology (SUSTech): "The approach includes a reactive transpor t model for simulating the remediation cost and effect of applicable remediation technologies and their combinations for a target site. The simulated results we re used to establish a relationship between the cost and effect using a machine learning method. The relationship was then used by an optimization method to pro vide optimal remediation strategies under various constraints and requirements f or the target site. The approach was evaluated for a site contaminated with both arsenic and polycyclic aromatic hydrocarbons at a former shipbuilding factory i n Guangzhou City, China. An optimal strategy was obtained and successfully imple mented at the site, which included the partial excavation of the contaminated so ils and natural attenuation of the residual contaminated soils."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on Machine Learning is now available. According to news reporting from Zhuhai, People's Republic of China, by NewsRx journalists, research stated, "Excessive discharges of nitrogen and phosphorus n utrients lead to eutrophication in coastal waters. Optical remote sensing retrie val of the key eutrophication indicators, namely dissolved inorganic nitrogen co ncentration (DIN), soluble reactive phosphate concentration (SRP), and chemical oxygen demand (COD), remains challenging due to lack of distinct spectral featur es." Financial supporters for this research include Southern Marine Science and Engin eering Guangdong Laboratory (Zhuhai), Fundamental Research Funds for the Central Universities, China-Korea Joint Ocean Research Center, China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Nutritional and Metabo lic Diseases and Conditions - Hypertriglyceridemia is the subject of a report. A ccording to news reporting originating from Catanzaro, Italy, by NewsRx correspo ndents, research stated, "Metabolic dysfunction-associated steatotic liver disea se (MASLD) is currently the most common chronic liver disease worldwide and is s trongly associated with metabolic comorbidities, including dyslipidemia. Herein, we aim to estimate the prevalence of MASLD and metabolic dysfunction-associated steatohepatitis (MASH) in Europeans with isolated hypercholesterolemia and isol ated hypertriglyceridemia in the UK Biobank and to estimate the independent cont ribution of lipoproteins to liver triglyceride content."
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 Machine Learning. According to news reporting originating in Beijing, People's R epublic of China, by NewsRx journalists, research stated, "A tensile properties- related fatigue strength prediction framework based on machine learning (ML) met hods was proposed. Firstly, 200 data containing six materials used in aerospace were collected." Financial supporters for this research include China Postdoctoral Science Founda tion, National Postdoctoral Program for Innovative Talent.
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