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 from Galwa y, Ireland, by NewsRx correspondents, research stated, “This systematic literatu re review examines state-of-the-art Explainable Artificial Intelligence (XAI) me thods applied to medical image analysis, discussing current challenges and futur e research directions, and exploring evaluation metrics used to assess XAI appro aches. With the growing efficiency of Machine Learning (ML) and Deep Learning (D L) in medical applications, there’s a critical need for adoption in healthcare.” Our news editors obtained a quote from the research from the School of Computer Science, “However, their ‘black-box’ nature, where decisions are made without cl ear explanations, hinders acceptance in clinical settings where decisions have s ignificant medicolegal consequences. Our review highlights the advanced XAI meth ods, identifying how they address the need for transparency and trust in ML/DL d ecisions. We also outline the challenges faced by these methods and propose futu re research directions to improve XAI in healthcare. This paper aims to bridge t he gap between cutting-edge computational techniques and their practical applica tion in healthcare, nurturing a more transparent, trustworthy, and effective use of AI in medical settings.”
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 from Carlisle, Pennsylvania, by N ewsRx journalists, research stated, “The astonishingly rapid rise of artificial intelligence (AI) raises fundamental questions about human-generated narratives that express personal experiences. First-person narratives that emerge from auto biographical memory are shared frequently as a fundamental form of human activit y and play a central role in maintaining relationships, guiding future behavior, and maintaining self-continuity.” The news correspondents obtained a quote from the research from Dickinson Colleg e, “We generated first-person narratives using prompts with Chat Generative Pre- trained Transformer and tested whether human participants could discriminate AI- generated from human-generated first-person narratives. Participants (N = 101) f rom Prolific rated five randomly selected narratives as human- or AI-generated a nd explained their choices. Participants were more accurate than chance (65% ) and were more accurate rating human-generated than AI-generated narratives. Wh en participants cited grammar and writing to explain their decisions, they were highly accurate, but when citing emotional expression, they performed at chance levels.”
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 Darmstadt, Ger many, by NewsRx journalists, research stated, “The only NMRactive oxygen isotop e, oxygen-17 (O), serves as a sensitive probe due to its large chemical shift ra nge, the electric field gradient at the oxygen site, and the quadrupolar interac tion. Consequently, O solid-state NMR offers unique insights into local structur es and finds significant applications in the studies of disorder, reactivity, an d host-guest chemistry.” Funders for this research include Deutsche Forschungsgemeinschaft, Bundesministe rium fur Bildung und Forschung.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news reporting originating in Changchun, People’s Republic of China, by NewsRx journalists, research stated, “ Periodontitis (PD), a chronic inflammatory disease, is a serious threat to oral health and is one of the risk factors for Alzheimer’s disease (AD). A growing bo dy of evidence suggests that the two diseases are closely related.” The news reporters obtained a quote from the research from Jilin University, “Ho wever, current studies have not provided a comprehensive understanding of the co mmon genes and common mechanisms between PD and AD. This study aimed to screen t he crosstalk genes of PD and AD and the potential relationship between cross-tal k and PANoptosis-related genes. The relationship between core genes and immune c ells will be analyzed to provide new targets for clinical treatment. The PD and AD datasets were downloaded from the GEO database and differential expression an alysis was performed to obtain DEGs. Overlapping DEGs had cross-talk genes linki ng PD and OP, and PANoptosis-related genes were obtained from a literature revie w. Pearson coefficients were used to compute cross-talk and PANoptosis-related g ene correlations in the PD and AD datasets. Cross-talk genes were obtained from the intersection of PD and AD-related genes, protein-protein interaction(PPI) ne tworks were constructed and cross-talk genes were identified using the STRING da tabase. The intersection of cross-talk and PANoptosis-related genes was defined as cross-talk-PANoptosis genes. Core genes were screened using ROC analysis and XGBoost. PPI subnetwork, gene-biological process, and gene-pathway networks were constructed based on the core genes. In addition, immune infiltration on the PD and AD datasets was analyzed using the CIBERSORT algorithm. 366 cross-talk gene s were overlapping between PD DEGs and AD DEGs. The intersection of cross-talk g enes with 109 PANoptosis-related genes was defined as cross-talk-PANoptosis gene s. ROC and XGBoost showed that MLKL, DCN, IL1B, and IL18 were more accurate than the other cross-talk-PANoptosis genes in predicting the disease, as well as bet ter in overall characterization. GO and KEGG analyses showed that the four core genes were involved in immunity and inflammation in the organism. Immune infiltr ation analysis showed that B cells naive, Plasma cells, and T cells gamma delta were significantly differentially expressed in patients with PD and AD compared with the normal group. Finally, 10 drugs associated with core genes were retriev ed from the DGIDB database. This study reveals the joint mechanism between PD an d AD associated with PANoptosis.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Digestive System Disea ses and Conditions - Gastrointestinal Bleeding is the subject of a report. Accor ding to news reporting out of New York City, United States, by NewsRx editors, r esearch stated, “To evaluate the ability of logistic regression and machine lear ning methods to predict active arterial extravasation on computed tomographic an giography (CTA) in patients with acute gastrointestinal hemorrhage using clinica l variables obtained prior to image acquisition. CT angiograms performed for the indication of gastrointestinal bleeding at a single institution were labeled re trospectively for the presence of arterial extravasation.” Our news journalists obtained a quote from the research from the Icahn School of Medicine at Mount Sinai, “Positive and negative cases were matched for age, gen der, time period, and site using Propensity Score Matching. Clinical variables w ere collected including recent history of gastrointestinal bleeding, comorbiditi es, laboratory values, and vitals. Data were partitioned into training and testi ng datasets based on the hospital site. Logistic regression, XGBoost, Random For est, and Support Vector Machine classifiers were trained and five-fold internal cross-validation was performed. The models were validated and evaluated with the area under the receiver operating characteristic curve. Two-hundred and thirtyone CTA studies with arterial gastrointestinal extravasation were 1:1 matched wi th 231 negative studies (N=462). After data preprocessing, 389 patients and 36 f eatures were included in model development and analysis. Two hundred and fifty-f ive patients (65.6%) were selected for the training dataset. Valida tion was performed on the remaining 134 patients (34.4%); the area under the receiver operating characteristic curve for the logistic regression, X GBoost, Random Forest, and Support Vector Machine classifiers was 0.82, 0.68, 0. 54, and 0.78, respectively.”
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 from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Chemical moderate preoxida tion for algae-laden water is an economical and prospective strategy for control ling algae and exogenous pollutants, whereas it is constrained by a lack of effe ctive on-line evaluation and quickresponse feedback method. Herein, excitation- emission matrix parallel factor analysis (EEM-PARAFAC) was used to identify cyan obacteria fluorophores after preoxidation of sodium hypochlorite (NaClO) at Exci tation/Emission wavelength of 260(360)/450 nm, based on which the algal cell int egrity and intracellular organic matter (IOM) release were quantitatively assess ed.”
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 Beijing, People’s Rep ublic of China, by NewsRx journalists, research stated, “Simultaneously detectin g muscular deformation and biopotential signals provides comprehensive insights of the muscle activity. However, the substantial size and weight of detecting eq uipment result in reduced wearer benefits and comfort.” Funders for this research include National Natural Science Foundation of China ( NSFC), China Postdoctoral Science Foundation.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cancer is the subject of a report. According to news reporting out of Lancaster, Pennsylvania, by News Rx editors, research stated, “Despite implementing hundreds of strategies, cance r drug development suffers from a 95% failure rate over 30 years, with only 30% of approved cancer drugs extending patient survival beyond 2.5 months. Adding more criteria without eliminating nonessential ones is impractical and may fall into the ‘survivorship bias’ trap.” Our news journalists obtained a quote from the research, “Machine learning (ML) models may enhance efficiency by saving time and cost. Yet, they may not improve success rate without identifying the root causes of failure. We propose a ‘STAR -guided ML system’ (structure-tissue/cell selectivity-activity relationship) to enhance success rate and efficiency by addressing three overlooked interdependen t factors: potency/specificity to the on/off-targets determining efficacy in tum ors at clinical doses, on/off-targetdriven tissue/cell selectivity influencing adverse effects in the normal organs at clinical doses, and optimal clinical dos es balancing efficacy/safety as determined by potency/specificity and tissue/cel l selectivity.”
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 new report. According to news originating from Walter Sisu lu University by NewsRx correspondents, research stated, “Integrating Coding, Ro botics, and Artificial Intelligence (AI) into educational practices represents a paradigm shift in how knowledge is imparted and acquired.” The news editors obtained a quote from the research from Walter Sisulu Universit y: “This paper explored the multifaceted impact of these advanced technologies o n contemporary education, highlighting their potential to enhance engagement, fo ster personalized learning experiences, and cultivate essential skills for the f uture. The study aimed to provide a comprehensive overview of how Coding, Roboti cs, and AI reshape the educational landscape by delving into specific applicatio ns, such as interactive learning environments and intelligent tutoring systems. Additionally, the discussion addressed the challenges and ethical considerations associated with these technological advancements, emphasizing the importance of a balanced approach that harnesses the benefits while addressing potential conc erns. This paper is underpinned by the Theory of Situated Learning. A sample of five secondary schools in the OR Tambo Coastal District was selected for this st udy, with a focus on the experiences, behaviours, and social interactions of 15 teachers. Based on the study’s interpretive paradigm, it was discovered that cer tain teachers were not aware of the importance of increasing their digital profe ssional knowledge as we move toward the Fourth Industrial Revolution (4IR).”
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 from Katowice, Poland, by NewsRx jour nalists, research stated, “The intricate nature of spinal surgery demands unprec edented precision to avoid severe complications such as nerve damage and paralys is. Recent advancements have steered spinal surgery toward robotic assistance, w hich enhances precision beyond human capabilities.” The news correspondents obtained a quote from the research from the Medical Univ ersity of Silesia, “These robotic systems allow for detailed preoperative planni ng and real-time guidance during surgery, significantly reducing the margin for error and promoting the adoption of minimally invasive techniques. This review a imed to evaluate the application of robotic systems in spinal surgeries, focusin g on the accuracy and efficacy of these technologies in clinical settings. The a uthors used comprehensive literature searches in 2 databases, PubMed and Scopus, focusing on the terms ‘robot,’ ‘robot-assisted,’ and ‘spine surgery.’ The searc h was aimed at gathering both original research and review articles to assess th e current status and advancements in robotic spinal surgery. Robotic systems, su ch as the Mazor X Stealth, have demonstrated high precision in pedicle screw pla cement with minimal deviation. Studies show a significant increase in the accura cy of screw placement compared with traditional methods. Furthermore, the use of robotic assistance in surgery has been linked to reduced operative times, less blood loss, and decreased radiation exposure to both patients and surgical teams . Robotic systems significantly enhance the precision and safety of spinal surge ries. They reduce the risk of complications, minimize surgical invasiveness, and maintain or improve operative outcomes. However, challenges such as high costs and the need for specialized training persist.”
NETL
NSTL