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 Catalonia, Spain, b y NewsRx journalists, research stated, “The availability of textual data depicti ng human-centered features and behaviors is crucial for many data mining and mac hine learning tasks. However, data containing personal information should be ano nymized prior making them available for secondary use.” Funders for this research include CRUE-CSIC, Springer Nature, European Commissio n Joint Research Centre, Research Council of Norway, MCIN/AEI, ERDF A way of mak ing Europe, INCIBE, European Union (EU), Generalitat de Catalunya.
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 Bandung, Indone sia, by NewsRx journalists, research stated, “Health index is an essential tool to evaluate the condition of power transformers. Generally, there are two method ologies to evaluate the health index of power transformers: conventional methods and machine learning-based approaches.” Financial supporters for this research include Indonesia Electric Power Company [Pt. Pln (Persero)] And Institut Teknologi Bandung.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Transplant Medicine - Kidney Tran splants is the subject of a report. According to news originating from Berkeley, California, by NewsRx correspondents, research stated, “In South Africa, betwee n 1966 and 2014, there were three kidney transplant eras defined by evolving acc ess to certain immunosuppressive therapies defined as (before availability of cy closporine), (when cyclosporine became available), and (availability of tacrolim us and mycophenolic acid). As such, factors influencing kidney graft failure may vary across these eras.”
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 originating from Brest, France, by NewsRx correspondents, research stated, “Natural language processing is a sub field of artificial intelligence that aims to analyze human oral or written lang uage. The development of large language models has brought innovative perspectiv es in medicine, including the potential use of chatbots and virtual assistants.” Our news journalists obtained a quote from the research from the University of B rest, “Nevertheless, the benefits and pitfalls of such technology need to be car efully evaluated before their use in health care. The aim of this narrative revi ew was to provide an overview of potential applications of large language models and artificial intelligence chatbots in the field of vascular surgery, includin g clinical practice, research, and education.”
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 Chengdu, People’s Repu blic of China, by NewsRx journalists, research stated, “Medical services are get ting automated and intelligent. An emerging medical service is the AI pharmacy i ntravenous admixture service (PIVAS) that prepares infusions through robots.” Financial support for this research came from National Social Science Fund of Ch ina. The news reporters obtained a quote from the research from the Southwestern Univ ersity of Finance and Economics, “However, patients may distrust these robots. T herefore, this study aims to investigate the psychological mechanism of patients ’ trust in AI PIVAS. We conducted one field study and four experimental studies to test our hypotheses. Study 1 and 2 investigated patients’ trust of AI PIVAS. Study 3 and 4 examined the effect of subjective understanding on trust in AI PIV AS. Study 5 examined the moderating effect of informed consent. The results indi cated that patients’ reluctance to trust AI PIVAS (Studies 1-2) stems from their lack of subjective understanding (Study 3). Particularly, patients have an illu sion of understanding humans and difficulty in understanding AI (Study 4). In ad dition, informed consent emerges as a moderating factor, which improves patients ’ subjective understanding of AI PIVAS, thereby increasing their trust (Study 5) . The study contributes to the literature on algorithm aversion and cognitive ps ychology by providing insights into the mechanisms and boundary conditions of tr ust in the context of AI PIVAS.”
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 Edge Un iversity by NewsRx editors, research stated, “Predictive maintenance (PdM) has b ecome a critical strategy for improving the efficiency and reliability of indust rial machinery. Integrating machine learning methods into a PdM system provides a promising solution for optimizing maintenance strategies, preventing equipment failures on the production line, and reducing downtime.” Our news journalists obtained a quote from the research from Edge University: “T his research presents a data-driven approach for detecting faults in industrial machines using sensor data. The method aims to optimize system performance, resu lting in economic savings including energy consumption, and maintenance costs. T he approach outlined in this research includes the establishment of a PdM system designed for yarn production machines empowered by machine learning methods. Th e effectiveness of PdM applications depends on careful selection of machine lear ning methods. This study examines four machine learning algorithms and a deep le arning algorithm for predictive modeling. The algorithms were trained on histori cal data to identify underlying patterns and correlations between operational pa rameters and failure events. The trained models were deployed in the PdM system to continuously monitor the health condition of industrial machines on ThingSpea kTM IoT interface platform in real-time. This research also presents a systemati c process for developing a predictive maintenance framework. The process include s data acquisition from industrial machinery, preprocessing, feature selection, model training, and deployment. The effectiveness of the proposed system is vali dated through extensive experimentation and case studies conducted in an industr ial setting.”
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 - Bladder Can cer is the subject of a report. According to news reporting out of Suzhou, Peopl e’s Republic of China, by NewsRx editors, research stated, “Bladder cancer carri es a large societal burden, with over 570,000 newly diagnosed cases and 210,000 deaths globally each year. Platelets play vital functions in tumor progression a nd therapy benefits.” Our news journalists obtained a quote from the research from Fourth Affiliated H ospital, “We aimed to construct a platelet-related signature (PRS) for the clini cal outcome of bladder cancer cases. Ten machine learning techniques were used i n the integrative operations to build PRS using the datasets from The Cancer Gen ome Atlas (TCGA), gene series expression (GSE)13507, GSE31684, GSE32894 and GSE4 8276. A number of immunotherapy datasets and prediction scores, including GSE910 61, GSE78220, and IMvigor210, were utilized to assess how well the PRS predicted the benefit of immunotherapy. Vitro experiment was performed to verify the role of a1C-tubulin (TUBA1C) in bladder cancer. Enet (alpha =0.4) algorithm-based PR S had the highest average C-index of 0.73 and it was suggested as the optimal PR S. PRS acted as an independent risk factor for bladder cancer and patients with high PRS score portended a worse overall survival rate, with the area under the curve of 1-, 3- and 5-year operating characteristic curve being 0.754, 0.779 and 0.806 in TCGA dataset. A higher level of immune-activated cells, cytolytic func tion and T cell co-stimulation was found in the low PRS score group. Low PRS sco re demonstrated a higher tumor mutation burden score and programmed cell death p rotein 1 & cytotoxic T-lymphocyte associated protein 4 immunopheno score, lower tumor immune dysfunction and exclusion score, intratumor heterogene ity score and immune escape score in bladder cancer, suggesting the PRS as an in dicator for predicting immunotherapy benefits. Vitro experiment showed that TUBA 1C was upregulated in bladder cancer and knockdown of TUBA1C obviously suppresse d tumor cell proliferation.”
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 reporting originating in Singapore, Sin gapore, by NewsRx journalists, research stated, “In computational molecular and materials science, determining equilibrium structures is the crucial first step for accurate subsequent property calculations. However, the recent discovery of millions of new crystals and super large twisted structures has challenged tradi tional computational methods, both ab initio and machine-learningbased, due to their computationally intensive iterative processes.” The news reporters obtained a quote from the research from the National Universi ty of Singapore, “To address these scalability issues, here we introduce DeepRel ax, a deep generative model capable of performing geometric crystal structure re laxation rapidly and without iterations. DeepRelax learns the equilibrium struct ural distribution, enabling it to predict relaxed structures directly from their unrelaxed ones. The ability to perform structural relaxation at the millisecond level per structure, combined with the scalability of parallel processing, make s DeepRelax particularly useful for large-scale virtual screening. We demonstrat e DeepRelax’s reliability and robustness by applying it to five diverse database s, including oxides, Materials Project, two-dimensional materials, van der Waals crystals, and crystals with point defects. DeepRelax consistently shows high ac curacy and efficiency, validated by density functional theory calculations. Fina lly, we enhance its trustworthiness by integrating uncertainty quantification.”
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 originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research sta ted, “Machine learning based on clinical data and treatment protocols for better clinical decision-making is a current research hotspot. This study aimed to bui ld a machine learning model on washed microbiota transplantation (WMT) for ulcer ative colitis (UC), providing patients and clinicians with a new evaluation syst em to optimize clinical decision-making.”
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 new report. According to news originating from Stellenbosch, South Africa , by NewsRx editors, the research stated, “This paper proposes a design framewor k to create individualised finger actuators that can be expanded to a generic ha nd.” Financial supporters for this research include National Research Foundation of S outh Africa. Our news editors obtained a quote from the research from Stellenbosch University : “An actuator design is evaluated to help a finger achieve tendon-gliding exerc ises (TGEs). We consider musculoskeletal analysis for different finger sizes to determine joint forces while considering safety. The simulated Finite Element An alysis (FEA) response of a bi-directional Pneumatic Network Actuator (PNA) is ma pped to a reduced-order model, creating a robust design tool to determine the be nding angle and moment generated for actuator units. A reduced-order model is co nsidered for both the 2D plane-strain formulation of the actuator and a full 3D model, providing a means to map between the results for a more accurate 3D model and the less computationally expensive 2D model. A setup considering a cascade of reduced-order actuator units interacting with a finger model determined to be able to achieve TGE was validated, and three exercises were successfully achiev ed.”
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