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 University Par k,Pennsylvania,by NewsRx journalists,research stated,"Loopmediated isotherm al amplification (LAMP) is a rapid,sensitive,and cost-effective method for dev eloping point-of-care nucleic acid testing due to its isothermal nature.Yet,LA MP can suffer from the issue of false positives,which can compromise the specif icity of the results." The news reporters obtained a quote from the research from Pennsylvania State Un iversity (Penn State),"LAMP false positives typically arise due to contaminatio n,nonspecific amplification,and nonspecific signal reporting (intercalating dy es,colorimetric,turbidity,etc.).While dye-labeled primers or probes have bee n introduced for multiplexed detection and enhanced specificity in LAMP assays,they carry the risk of reaction inhibition.This inhibition can result from the labeled primers with fluorophores or quenchers and probes that do not fully diss ociate during reaction.This work demonstrated a nanoporebased system for probe -free LAMP readouts by employing amplicon sizing and counting,analogous to an e lectronic version of gel electrophoresis.We first developed a model to explore LAMP kinetics and verified distinct patterns between true and false positives vi a gel electrophoresis.Subsequently,we implemented nanopore sized counting and calibrated the event charge deficit (ECD) values and frequencies to ensure a fai r analysis of amplicon profiles."
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 - Appendectomy is the subject of a report.According to news reporting from Kolding,Denmark,by NewsRx journalists,research stated,"There is currently an increased focus o n competency-based training,in which training and assessment play a crucial rol e.The aim of this systematic review is to create an overview of hands-on traini ng methods and assessment tools for appendectomy and colon and rectal surgery pr ocedures using either an open,laparoscopic or robot-assisted approach." Financial support for this research came from Syddansk Universitet.The news correspondents obtained a quote from the research from the University o f Southern Denmark,"A systematic review of Medline,Embase,Cochrane and Scopus databases was conducted following the PRISMA guidelines.We conducted the last search on 9 March 2023.All published papers describing handson training,evalu ation of performance data and development of assessment tools were eligible.The quality of studies and the validity evidence of assessment tools are reported.Fifty-one studies were identified.Laparoscopic assessment tools are abundant,b ut the literature still lacks good-quality assessment tools for open appendectom y,robotic colectomy and open rectal surgery.Overall,there is a lack of discus sion regarding the establishment of pass/fail standards and the consequences of assessment.Virtual reality simulation is used more for appendectomy than colore ctal procedures.Only a few of the studies investigating training were of accept able quality.There is a need for high-quality studies in open and robotic-assis ted colon surgery and all approaches to rectal surgery."
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 - Ovarian Can cer is the subject of a report.According to news reporting originating in Atlan ta,United States,by NewsRx journalists,research stated,"Distinguishing ovari an cancer (OC) from other gynecological malignancies is crucial for patient surv ival yet hindered by non-specific symptoms and limited understanding of OC patho genesis.Accumulating evidence suggests a link between OC and deregulated lipid metabolism." The news reporters obtained a quote from the research from the Georgia Institute of Technology,"Most studies have small sample sizes,especially for early-stag e cases,and lack racial/ethnic diversity,necessitating more inclusive research for improved OC diagnosis and prevention.Here,we profiled the serum lipidome of 208 OC,including 93 patients with early-stage OC,and 117 non-OC (other gyne cological malignancies) patients of Korean descent.Serum samples were analyzed with a high-coverage liquid chromatography high-resolution mass spectrometry pla tform,and lipidome alterations were investigated via statistical and machine le arning approaches.We found lipidome alterations unique to OC were present in Ko rean women as early as when the cancer is localized,and those changes increase in magnitude as the diseases progresses.Analysis of relative lipid abundances r evealed specific patterns for various lipid classes,with most classes showing d ecreased abundance in OC in comparison to other gynecological diseases.Machine learning methods selected a panel of 17 lipids that discriminated OC from non-OC cases with an AUC of 0.85 for an independent test set.This study provides a sy stemic analysis of lipidome alterations in human OC,specifically in Korean wome n."
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 - Intel ligent Systems are presented in a new report.According to news reporting from J iangsu,People's Republic of China,by NewsRx journalists,research stated,"Fed erated learning has gained significant attention due to its groundbreaking abili ty to enable distributed learning while maintaining privacy constraints.However,as a consequence of data heterogeneity among decentralized devices,it inheren tly experiences significant learning degradation and slow convergence speed." Financial supporters for this research include National Natural Science Foundati on of China (NSFC),National Natural Science Foundation of China (NSFC),Wuxi Sc ience and Technology Development Fund Project.
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 Augsburg,Germa ny,by NewsRx correspondents,research stated,"The Grand- AID research project,consisting of GRANDEL-The Beautyness Company,the dermatology department of Augs burg University Hospital and the Chair of IT Infrastructure for Translational Me dical Research at Augsburg University,is currently researching the development of a digital skin consultation tool that uses artificial intelligence (AI) to an alyze the user's skin and ultimately perform a personalized skin analysis and a customized skin care routine.Training the AI requires annotation of various ski n features on facial images." Our news journalists obtained a quote from the research from University Hospital Augsburg,"The central question is whether videos are better suited than static images for assessing dynamic parameters such as wrinkles and elasticity.For th is purpose,a pilot study was carried out in which the annotations on images and videos were compared.Standardized image sequences as well as a video with faci al expressions were taken from 25 healthy volunteers.Four raters with dermatolo gical expertise annotated eight features (wrinkles,redness,shine,pores,pigme ntation spots,dark circles,skin sagging,and blemished skin) with a semi-quant itative and a linear scale in a cross-over design to evaluate differences betwee n the image modalities and between the raters.In the videos,most parameters te nded to be assessed with higher scores than in the images,and in some cases sig nificantly.Furthermore,there were significant differences between the raters.The present study shows significant differences between the two evaluation metho ds using image or video analysis.In addition,the evaluation of the skin analys is depends on subjective criteria."
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 - Ovarian Can cer is the subject of a report.According to news reporting originating in Shang hai,People's Republic of China,by NewsRx journalists,research stated,"Signif icant advancements in improving ovarian cancer (OC) outcomes have been limited o ver the past decade.To predict prognosis and improve outcomes of OC,we plan to develop and validate a robust prognosis signature based on blood features." Financial support for this research came from National Natural Science Foundatio n of China.The news reporters obtained a quote from the research from Shanghai Jiao Tong Un iversity,"We screened age and 33 blood features from 331 OC patients.Using ten machine learning algorithms,88 combinations were generated,from which one was selected to construct a blood risk score (BRS) according to the highest C-index in the test dataset.Stepcox (both) and Enet (alpha = 0.7) performed the best in the test dataset with a C-index of 0.711.Meanwhile,the low RBS group possess ed observably prolonged survival in this model.Compared to traditional prognost ic-related features such as age,stage,grade,and CA125,our combined model had the highest AUC values at 3,5,and 7 years.According to the results of the mo del,BRS can provide accurate predictions of OC prognosis.BRS was also capable of identifying various prognostic stratifications in different stages and grades .Importantly,developing the nomogram may improve performance by combining BRS and stage."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report.According to news reporting out of Natal,Brazil,by NewsRx editors,research stated,"This article describes the study and digit al implementation of a system onboard a TMS 3208F28335 ® DSP for vector control of the bearing motor speed with four poles split winding with 250 W of power." Financial supporters for this research include Coordenacao De Aperfeicoamento De Pessoal De Nivel Superior Brasil; Conselho Nacional De Desenvolvimento Cientifi co E Tecnologico.The news editors obtained a quote from the research from Federal University of R io Grande do Norte:"Smart techniques:ANFIS and Neural Networks were investigat ed and computationally implemented to evaluate the bearing motor performance und er the following conditions:operating as an estimator of uncertain parameters a nd as a speed controller.Therefore,the MATLAB program and its toolbox were use d for the simulations and the parameter adjustments involving the structure ANFI S (Adaptive-Network- Based Fuzzy Inference System) and simulations with the Neura l Network." According to the news editors,the research concluded:"The simulated results sh owed a good performance for the two techniques applied differently:the estimato r and a speed controller using both a model of the induction motor operating as a bearing motor.The experimental part for velocity vector control uses three co ntrol loops:current,radial position,and speed,where the configurations of th e peripherals,that is,the interfaces or drivers for driving the bearing motor."
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 Machine Learn ing have been published.According to news reporting out of Stanford,California,by NewsRx editors,the research stated,"This article urges a reorientation in thinking about AI art (and AI more generally),shifting from the common focus o n computational ‘intelligence' to the embodied,metabolic processing that takes place in our encounters with (moving-image) artworks produced with machine-learn ing algorithms.Drawing on Merleau-Ponty's corporeal phenomenology,the article argues that spectators' bodies act as filters,distilling visual phenomena from a range of extraperceptual facets of these works; in particular,bodies react to invisible algorithmic infrastructures,which,in the case of machine learning a lgorithms,also operate as filters in their own right." Our news journalists obtained a quote from the research from Stanford University,"The collision of metabolic and computational microtemporal operations calls f orth a number of embodied affects,ranging from sublime awe to disorientation,c ringe,and uncanny feelings of relational and environmental entanglement.These themes are explored through the work of four contemporary artists working with A I:Ian Cheng,Refik Anadol,Jon Rafman,and Yvette Granata."
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 Miami University by NewsRx jo urnalists,research stated,"A stochastic network simulation is verified when it s distribution of outputs is aligned with the ground truth,while tolerating dev iations due to variability in real-world measurements and the randomness of a st ochastic simulation." Our news reporters obtained a quote from the research from Miami University:"Ho wever,comparing distributions may yield false positives,as erroneous simulatio ns may have the expected distribution yet present aberrations in low-level patte rns.For instance,the number of sick individuals may present the right trend ov er time,but the wrong individuals were infected.We previously proposed an appr oach that transforms simulation traces into images verified by machine learning algorithms that account for low-level patterns.We demonstrated the viability of this approach when many simulation traces are compared with a large ground trut h data set.However,ground truth data are often limited.For example,a publica tion may include few images of their simulation as illustrations; hence,teams t hat independently re-implement the model can only compare low-level patterns with few cases."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Mental Health Diseases and Conditions - Schizophrenia is the subject of a report.According to news re porting originating from Minneapolis,Minnesota,by NewsRx correspondents,resea rch stated,"Social cognition training (SCT) can improve social cognition defici ts in schizophrenia.However,little is known about patterns of response to SCT or individual characteristics that predict response." Our news editors obtained a quote from the research from HealthPartners Institut e,"76 adults with schizophrenia randomized to receive 8-12 weeks of remotely-de livered SCT were included in this analysis.Social cognition was measured with a composite of six assessments.Latent class growth analyses identified trajector ies of social cognitive response to SCT.Random forest and logistic regression m odels were trained to predict membership in the trajectory group that showed imp rovement from baseline measures including symptoms,functioning,motivation,and cognition.Five trajectory groups were identified:Group 1 (29 %) began with slightly above average social cognition,and this ability significant ly improved with SCT.Group 2 (9 %) had baseline social cognition a pproximately one standard deviation above the sample mean and did not improve wi th training.Groups 3 (18 %) and 4 (36 %) began with a verage to slightly belowaverage social cognition and showed non-significant tre nds toward improvement.Group 5 (8 %) began with social cognition a pproximately one standard deviation below the sample mean,and experienced signi ficant deterioration in social cognition.The random forest model had the best p erformance,predicting Group 1 membership with an area under the curve of 0.73 ( SD 0.24; 95 % CI [0.51-0.87] ).Findings suggest that there are distinct patterns of response to SCT in schiz ophrenia and that those with slightly above average social cognition at baseline may be most likely to experience gains."
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