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    Moorfields Eye Hospital Reports Findings in Robotics (Robotic assisted orbital s urgery for resection of advanced periocular tumours-a case series report on th e feasibility, safety and outcome)

    38-39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 Robotics is the subjec t of a report. According to news reporting out of London, United Kingdom, by New sRx editors, research stated, "Orbital surgery benefits from well-designed instr umentation that offers gentle tissue manipulation, high manoeuvrability and cont rol. Nevertheless, in confined spaces, tissue manipulation must be accomplished with exceptionally high accuracy and precision." Our news journalists obtained a quote from the research from Moorfields Eye Hosp ital, "This is where robotic surgery offers an advantage. We aimed to evaluate a robotic-assisted surgical system's feasibility, safety and outcome in assisting tumour clearance. A case series of patients with advanced periocular tumours un dergoing robotic-assisted globe-sparing resection was performed using the DaVinc i XI system (Intuitive Surgical, Inc). Institutional ethics and multidisciplinar y approval were sought in all cases. Four patients with advanced periocular tumo urs underwent robotic-assisted orbital surgery at a mean age of 63 years (range 42-86). Two patients were diagnosed with squamous cell carcinoma, and two had ba sal cell carcinoma. One patient was found to have positive lymph nodes at the ti me of surgery and underwent simultaneous parotidectomy and lymph node clearance. Clear resection of the primary tumour was achieved in all patients; three patie nts underwent further resection due to narrow margins prior to reconstruction. P atients were follow-up for at least one year, and three remained disease-free. O ne patient with preexisting extra-orbital disease developed metastatic disease four months post-op. All patients preserved vision peri-operatively, with no com plaints of diplopia. Moderate ocular surface disease was noted in two patients. Our series highlights the potential advantage of three-dimensional optics, multi -directional instrumentation and motion scaling technology to achieve globe-spar ing tumour resection in advanced periocular tumours."
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    Suzhou University of Science and Technology Researcher Has Provided New Study Fi ndings on Machine Learning (Machine Learning Empowering Drug Discovery: Applicat ions, Opportunities and Challenges)

    39-40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 reporting from Suzhou, People's Republic of China, by NewsRx journalists, research stated, "Drug discovery plays a critical role in advancing human health by developing new medications and treatments to c ombat diseases." Funders for this research include National Natural Science Foundation of China; Postgraduate Research & Practice Innovation Program of Jiangsu Pro vince. The news correspondents obtained a quote from the research from Suzhou Universit y of Science and Technology: "How to accelerate the pace and reduce the costs of new drug discovery has long been a key concern for the pharmaceutical industry. Fortunately, by leveraging advanced algorithms, computational power and biologi cal big data, artificial intelligence (AI) technology, especially machine learni ng (ML), holds the promise of making the hunt for new drugs more efficient." According to the news reporters, the research concluded: "Recently, the Transfor mer-based models that have achieved revolutionary breakthroughs in natural langu age processing have sparked a new era of their applications in drug discovery. H erein, we introduce the latest applications of ML in drug discovery, highlight t he potential of advanced Transformer-based ML models, and discuss the future pro spects and challenges in the field."
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    Department of Surgery Reports Findings in Surgical Technology (The stress for su rgeons: exploring stress entities with the robotic senhance surgical system)

    40-41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 Surgery-Surgical Tec hnology is the subject of a report. According to news reporting originating in W esel, Germany, by NewsRx journalists, research stated, "Robotic surgery is on it s way to revolutionizing traditional surgical procedures, offering precise and m inimally invasive techniques hypothesized to shorten recovery times and improve patient outcomes. While there have been multiple publications on robotic systems ' medical and procedural achievements, more emphasis should be put on the surgeo n's experience, especially in comparison with laparoscopic surgery." The news reporters obtained a quote from the research from the Department of Sur gery, "The present report aims to systematically examine the stress impact on su rgeons by comparing the robotic Senhance Surgical System (Asensus Surgical, Durh am, North Carolina, U.S.A) to laparoscopic surgery. The wellestablished ‘SURG-T LX' survey is used to measure distinct stress entities. The ‘SURG-TLX' survey is a modified version of the NASA-TLX, validated for surgery by M. Willson. Based on a comprehensive database from six centers encompassing various disciplines an d surgical procedures, our analysis indicates significantly reduced ‘overall str ess' levels for robotic (cockpit) compared to laparoscopic surgeons. Exploring t he ‘SURG-TLX' stress dimensions further between methods (robotic vs. laparoscopi c) and surgeon position (laparoscopic, (robotic) bedside, or (robotic) cockpit) resulted in significantly more Mental (p.value <0.015), le ss Physical Demands (p.value <0.001) and less Distraction (p.value <0.009) for robotic surgery, especially regarding the robotic cockpit surgeons."
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    Data on Pneumonia Reported by Yang Pan and Colleagues (Exploration and machine l earning model development for T2 NSCLC with bronchus infiltration and obstructiv e pneumonia/atelectasis)

    41-42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 Lung Diseases and Cond itions-Pneumonia is the subject of a report. According to news reporting from Hangzhou, People's Republic of China, by NewsRx journalists, research stated, "I n the 8th edition of the American Joint Committee on Cancer (AJCC) staging syste m for Non- Small Cell Lung Cancer (NSCLC), tumors exhibiting main bronchial infil tration (MBI) near the carina and those presenting with complete lung obstructiv e pneumonia/atelectasis (P/ATL) have been reclassified from T3 to T2. Our invest igation into the Surveillance, Epidemiology, and End Results (SEER) database, sp anning from 2007 to 2015 and adjusted via Propensity Score Matching (PSM) for ad ditional variables, disclosed a notably inferior overall survival (OS) for patie nts afflicted with these conditions." The news correspondents obtained a quote from the research, "Specifically, indiv iduals with P/ATL experienced a median OS of 12 months compared to 15 months (p <0.001). In contrast, MBI patients demonstrated a slightly worse prognosis with a median OS of 22 months versus 23 months (p = 0.037), wit h both conditions significantly correlated with lymph node metastasis (All p<0.001). Upon evaluating different treatment approaches for these particular T2 NSCLC variants, while adjusting for other factors, surgery emerged as the optima l therapeutic strategy. We counted those who underwent surgery and found that co mpared to surgery alone, the MBI/(P/ATL) group experienced a much higher proport ion of preoperative induction therapy or postoperative adjuvant therapy than the non-MBI/(P/ATL) group (41.3%/54.7% vs. 36.6% ). However, for MBI patients, initial surgery followed by adjuvant treatment or induction therapy succeeded in significantly enhancing prognosis, a benefit that was not replicated for P/ATL patients."
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    Studies from University of California Reveal New Findings on Machine Learning (D endritic Growth Optimization: A Novel Nature-Inspired Algorithm for Real-World O ptimization Problems)

    42-42页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on artificial intelligence is the su bject of a new report. According to news reporting originating from Berkeley, Ca lifornia, by NewsRx correspondents, research stated, "In numerous scientific dis ciplines and practical applications, addressing optimization challenges is a com mon imperative." Our news journalists obtained a quote from the research from University of Calif ornia: "Natureinspired optimization algorithms represent a highly valuable and pragmatic approach to tackling these complexities. This paper introduces Dendrit ic Growth Optimization (DGO), a novel algorithm inspired by natural branching pa tterns. DGO offers a novel solution for intricate optimization problems and demo nstrates its efficiency in exploring diverse solution spaces. The algorithm has been extensively tested with a suite of machine learning algorithms, deep learni ng algorithms, and metaheuristic algorithms, and the results, both before and af ter optimization, unequivocally support the proposed algorithm's feasibility, ef fectiveness, and generalizability. Through empirical validation using establishe d datasets like diabetes and breast cancer, the algorithm consistently enhances model performance across various domains. Beyond its working and experimental an alysis, DGO's wide-ranging applications in machine learning, logistics, and engi neering for solving real-world problems have been highlighted."
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    Research Study Findings from Universidade Estadual do Oeste do Parana Update Und erstanding of Robotics (Exchanging workers for robots: the impacts of automation in Parana State/Brazil)

    43-43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 ro botics. According to news originating from the Universidade Estadual do Oeste do Parana by NewsRx correspondents, research stated, "The replacement of people by machines is not a recent concern." The news editors obtained a quote from the research from Universidade Estadual d o Oeste do Parana: "Common occupations may cease to exist due to recent advances in artificial intelligence, robotics, algorithms, and mechanization. This artic le aims to identify the regional impacts of replacing humans with machines, i.e., which municipalities will be most vulnerable." According to the news editors, the research concluded: "Using data from the rese arch by Frey and Osborne (2017), the study analyzed and identified through geogr aphically weighted regression that, in Parana State, municipalities with a large r rural population should be the most affected by automation." For more information on this research see: Exchanging workers for robots: the im pacts of automation in Parana State/Brazil. Informe Gepec, 2024,28(1). The publisher for Informe Gepec is Universidade Estadual do Oeste do Parana.
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    Islamic Azad University Researchers Further Understanding of Machine Learning (I n-depth simulation of netted collars on scour depth control using machine-learni ng models)

    43-44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 artificial intelligence. According to news reporting from Ahvaz, Iran, by NewsRx journalists, research stated, "The present research aims to forecast the safegu arding efficacy of a mesh collar, of hole diameter d, in developing of scour dep th around a cylindrical bridge pier of diameter D under the steady and clean wat er conditions utilizing three machine learning models (MLMs), namely Support Vec tor Machine (SVM), Gene Expression Programming (GEP), and Multilayer Perceptron (MLP)." The news editors obtained a quote from the research from Islamic Azad University : "A total of 240 laboratory measured scour depth data were employed in this stu dy. The experimental setup involved the installation of four distinct mesh colla rs, configured in the shapes of a circle, square, rectangle, an d triangle by sh ape factor (SF) of 1.78, 1, 2.3, and 1.69, respectively. The mean size of non-co hesive sand particles was selected with a particle size of 1.3 mm. Employing dim ensional analysis, three dimensionless parameters, namely SF, d/D, and Uc/U were identified as independent variables adopting for the input variables for the ML Ms. The performance assessment metrics involved Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), coefficient of determination (R2), and the Developed Discrepancy Ratio (DDR). The simulation results demonstrated that MLMs exhibit a high degree of accuracy in predicting relative scour depth (RSD) influenced by the presence of mesh collars."
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    Glasgow Royal Infirmary Reports Findings in Cystectomy (Incidence of Ureteroente ric Anastomotic Strictures After Robotic vs Open Cystectomy in Adults)

    44-45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 Surgery-Cystectomy i s the subject of a report. According to news reporting originating in Glasgow, U nited Kingdom, by NewsRx journalists, research stated, "To synthesise the eviden ce comparing the incidence rates of UAS post-RARC vs Open Radical cystectomy (OR C) in adults undergoing cystectomy and to compare differential stricture rates b etween Extracorporeal and Intracorporeal urinary diversion (ECUD vs ICUD). The p rimary outcome was incidence rate of UAS post RARC vs ORC and the secondary outc ome was incidence rate of UAS in RARC post ECUD vs ICUD." The news reporters obtained a quote from the research from Glasgow Royal Infirma ry, "Review authors conducted comprehensive search for studies comparing RARC wi th ORC in terms of incidence of UAS. Furthermore, we conducted a secondary searc h for studies which compared UAS incidence comparing ECUD and ICUD. We found tha t RARC may have higher incidence of UAS [OR: 1.39; 95% CI 1.11-1.75; p<0.0001]."
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    East China University of Science and Technology Reports Findings in Artificial I ntelligence (Discovery of Potential Neonicotinoid Insecticides by an Artificial Intelligence Generative Model and Structure-Based Virtual Screening)

    45-45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 out of Shanghai, Peopl e's Republic of China, by NewsRx editors, research stated, "The identification o f neonicotinoid insecticides bearing novel scaffolds is of great importance for pesticide discovery. Here, artificial intelligence-based tools and virtual scree ning strategy were integrated to discover potential leads of neonicotinoid insec ticides." Our news journalists obtained a quote from the research from the East China Univ ersity of Science and Technology, "A deep generative model was successfully cons tructed using a recurrent neural network combined with transfer learning. The mo del evaluation showed that the pretrained model could accurately grasp the SMILE S grammar of drug-like molecules and generate potential neonicotinoid compounds after transfer learning. The generated molecules were evaluated by hierarchical virtual screening, hits were subjected to a similarity search, and the most simi lar structures were purchased for the bioassay. Compounds and displayed 52.5 and 50.3% mortality rates against at 100 mg/L, respectively." According to the news editors, the research concluded: "The docking study indica ted that these two compounds have similar binding modes to neonicotinoids, which were verified by further molecular dynamics simulations."
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    Study Data from Govind Ballabh Pant University of Agricultural & Technology Update Understanding of Machine Learning (Evaluation of Catboost Metho d for Predicting Weekly Pan Evaporation In Subtropical and Sub-humid Regions)

    46-47页
    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 originating from Uttarakhand, India, b y NewsRx correspondents, research stated, "Pan evaporation modeling and forecast ing are needed to provide timely, continuous, and valuable information to suppor t water management. This study aimed to overcome the constraints identified in t raditional regression techniques and less explored machine learning models-the C atBoost, to enhance the precision and comprehensiveness of pan evaporation estim ation." Financial support for this research came from King Saud University.
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