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 th e subject of a report. According to news originating from Pavia, Italy, by NewsR x correspondents, research stated, “Sex differences affect Parkinson’s disease ( PD) development and manifestation. Yet, current PD identification and treatments underuse these distinctions.” Our news journalists obtained a quote from the research from the University of P avia, “Sex-focused PD literature often prioritizes prevalence rates over feature importance analysis. However, underlying aspects could make a feature significa nt for predicting PD, despite its score. Interactions between features require c onsideration, as do distinctions between scoring disparities and actual feature importance. For instance, a higher score in males for a certain feature doesn’t necessarily mean it’s less important for characterizing PD in females. This arti cle proposes an explainable Machine Learning (ML) model to elucidate these under lying factors, emphasizing the importance of features. This insight could be cri tical for personalized medicine, suggesting the need to tailor data collection a nd analysis for males and females. The model identifies sex-specific differences in PD, aiding in predicting outcomes as ‘Healthy’ or ‘Pathological’. It adopts a system-level approach, integrating heterogeneous data - clinical, imaging, gen etics, and demographics - to study new biomarkers for diagnosis. The explainable ML approach aids non- ML experts in understanding model decisions, fostering tru st and facilitating interpretation of complex ML outcomes, thus enhancing usabil ity and translational research. The ML model identifies muscle rigidity, autonom ic and cognitive assessments, and family history as key contributors to PD diagn osis, with sex differences noted. The genetic variant SNCA-rs356181 may be more significant in characterizing PD in males. Interaction analysis reveals a greate r occurrence of feature interplay among males compared to females.”
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 out of Victoria, Austr alia, by NewsRx editors, research stated, “Abdominoplasty is a common operation, used for a range of cosmetic and functional issues, often in the context of div arication of recti, significant weight loss, and after pregnancy. Despite this, patient-surgeon communication gaps can hinder informed decision-making.”
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 from Bern, Swi tzerland, by NewsRx journalists, research stated, “The aim of this study was to investigate the role of an artificial intelligence (AI)-developed OCT program to predict the clinical course of central serous chorioretinopathy (CSC) based on baseline pigment epithelium detachment (PED) features. This was a single-center, observational study with a retrospective design.”
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 Nanjing, People’s R epublic of China, by NewsRx journalists, research stated, “Herein, a comprehensi ve review of the evolution of intelligent communication anti-jamming techniques is provided. First, a clear definition of the concept and elaboration on the inh erent connotations and capability characteristics of intelligent communication a nti-jamming is provided.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news reporting from Odense, Denmark, by News Rx journalists, research stated, “Programming robots presents significant challe nges, including high costs, extensive time commitments and steep learning curves , particularly for individuals lacking technical background in engineering.” Our news journalists obtained a quote from the research from University of South ern Denmark: “These barriers have been partially mitigated by the emergence of e nd-user development methodologies. Yet existing approaches often fall short in e quipping users with the necessary software engineering competencies to develop c omprehensive robot behaviors or to effectively maintain and re-purpose their cre ations. In this paper, we introduce a novel end-user development approach design ed to empower physical therapists to independently specify robot-assisted physic al training exercises, eliminating the need for robotics experts’ intervention. Our approach is based on a set of design goals obtained through a participatory design study with experts in the field.”
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 - Support Vector Machines. According to news reporting out of B eijing, People’s Republic of China, by NewsRx editors, research stated, “Accurat e discrimination of honey origin is of significant importance for safeguarding c onsumer rights and promoting the sustainable development of apiculture. Spectros copic techniques, as rapid, efficient, and nondestructive detection methods, hav e been widely applied in honey research.” Financial supporters for this research include National Key Research and Develop ment Program of China, National Natural Science Foundation of China (NSFC).
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 originating from Loughborough, United Kingdom, by NewsRx correspondents, research stated, “This paper aims to d evelop Machine Learning (ML) algorithms to predict the buckling resistance of co ld -formed steel (CFS) channels with restrained flanges, widely used in typical CFS sheathed wall panels, and provide practical design tools for engineers. The effects of cross-sectional restraints were first evaluated on the elastic buckli ng behaviour of CFS channels subjected to pure axial compressive load or bending moment.”
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 Boltzmann Mac hines have been published. According to news reporting originating from Manaus, Brazil, by NewsRx correspondents, research stated, “Machine learning models play a crucial role in sports monitoring by effectively identifying various activiti es and tracking the number of repetitions during repetitive movements. However, creating models that accurately detect different types of exercises and provide feedback on movement adjustments for wearable devices remains a challenge.” Financial support for this research came from Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting out of Qinhuangdao, People’s Republi c of China, by NewsRx editors, research stated, “Pipeline robots using the conve ntional driving mode have encountered a bottleneck in miniaturization. To addres s this problem, a micro piezoelectric pipeline robot based on the inertia sticks lip driving principle is proposed in this paper.” Financial supporters for this research include State Key Laboratory of Robotics and System (HIT), Funda- mental Innovation Scientific Research Cultivation Proje ct of Yanshan University.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting or iginating in Thessaloniki, Greece, by NewsRx journalists, research stated, “Acut e myeloid leukemia (AML) is the most common malignant myeloid disorder in adults and the fifth most common malignancy in children, necessitating advanced techno logies for outcome prediction. This study aims to enhance prognostic capabilitie s in AML by integrating multi-omics data, especially gene expression and methyla tion, through network-based feature selection methodologies.”
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