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A ǂFramework for applying data-driven AI/ML models in reliability
No full textIn this chapter, we present a framework for applying artificial intelligence (AI)/machine learning (ML) in reliability, in the context of the iRel40 project. Data-driven models are becoming an increasingly fruitful tool for detecting patterns in complex data and identifying the circumstances in which they occur. Using only data, gathered along the value chain, data-driven methods are now being used to detect indications of potential early failures, signs of wear out or degradation, and other unwanted events within the development, fabrication, or service phases of the electronic components and systems. We present general considerations that were found to be important during the iRel40 project, when designing pipelines that combine data processing with the AI/ML models for predicting or detecting reliability issues. This chapter serves as an introduction to the definitions and concepts used within the specific use cases that rely on the AI/ML methodology within the iRel40 project
Načrt izvedbe izbranih ukrepov na pilotnih območjih : obnova degradiranih gozdov na Kočevskem : izboljšanje upravljanja mokrišč na Ljubljanskem barju : ohranjanje trajnega travinja na Goričkem
No full textThe evolving role of continuous glucose monitoring in hospital settings
Full text linkBackground: The use of continuous glucose monitoring (CGM) offers several benefits. Compared to point-of-care (POC) capillary glucose tests, user acceptability is greater, and time in the target glucose range is improved. If these advantages can be transferred from outpatient to in-patient settings, CGM could assist clinicians in making timely, proactive treatment decisions. Scope of the review: This scoping review focuses on clinical studies of CGM use in hospital settings among non-pregnant adults, with a particular focus on studies from 2023 to 2025. It examines the latest evidence and guidelines and sets out the clinical and analytical considerations involved in implementing in-patient CGM. Main findings: In-hospital CGM facilitates hypoglycemia detection, especially asymptomatic and nocturnal episodes. Data on the impact of CGM use on clinical outcomes are scarce, and most studies focus on the reliability of CGM technology rather than clinical outcomes. Several factors affect CGM accuracy in hospitals, such as medications, fluid management, and hemodynamic disturbances. Despite between-device and settings-related variability, CGM devices generally show reasonable accuracy, with Mean Absolute Relative Differences (MARDs) ranging from 10% to 23%. In-hospital CGM has also improved workflows and reduced personnel exposure in infectious disease settings. Key implementation challenges: The MARD thresholds for safe in-hospital CGM use without confirmatory POC testing and evidence-based protocols for CGM application in ICU and non-ICU settings are not yet established. Despite challenges related to implementation, including personnel training, integrating diabetes technology with electronic health records, and costs, the benefits of improved monitoring and in-patient safety make CGM use worthwhile to pursue
Placebo rates in randomised clinical trials of ulcerative colitis
Full text linkBackground and aims: We assessed placebo rates and associated factors using individual patient data (IDP) from randomised clinical trials (RCTs) in ulcerative colitis (UC). Methods: We conducted an IPD meta-analysis using Vivli and Yale University Open Data Access data-sharing platforms. Phase 2 and 3 RCTs of advanced biologics in adults with moderate-to-severe UC published since 2010 were included. Pooled placebo rates and 95% CIs were estimated using one-and two-stage meta-analytical approaches. Significant patient-level factors (P < 0·05) were identified using regression analyses. Primary outcomes were clinical response and remission. Results: Data were available for 1703 patients from nine studies. For induction trials, overall placebo response and remission rates were 33% (95% CI 29%–38%) and 9% (95% CI 7%–11%). Overall placebo response and remission rates in maintenance trials were 28% (95% CI 18%–41%) and 14% (95% CI 9%–20%). A lower body mass index reduced odds of placebo response and remission, while higher baseline albumin levels and left-sided (compared to extensive) UC increased the odds of these outcomes. A one-point increase in the Mayo Clinic Score (MCS) and adapted MCS was associated with a 26% and 27% reduction in odds of clinical remission. For induction trials, prior biologic exposure was associated with lower odds of response and remission. Multi-centre trials have lower placebo effects than single-centre trials. Conclusions: These results enable future trials to incorporate design elements that reduce placebo rates as well as a precise benchmark for expected rates in clinical trials that do not include placebo
Image-guided percutaneous drainage of abdominal abscesses in pediatric patients
Full text linkImage-guided percutaneous abscess drainage (IPAD) is an effective, minimally invasive technique to manage infected abdominal fluid collections in children. It is the treatment of choice in cases where surgery is not immediately required due to another coexisting indication. The skills and equipment needed for this procedure are widely available. IPAD is typically guided by ultrasound, fluoroscopy, computed tomography, or a combination thereof. Abscesses in hard-to-reach locations can be drained by intercostal, transhepatic, transgluteal, transrectal, or transvaginal approaches. Pediatric IPAD has a success rate of over 80% and a low complication rate
Planning of technologies and quality assessment of forest operations in support of the bioeconomy
Full text linkMultiplex quantification of 19 GM soybean lines using digital PCR
No full textThe European Union (EU) imposes strict regulations on the presence of genetically modified (GM) material in food and feed, requiring thorough testing of samples for various GM lines. Although traditional quantitative real-time PCR (qPCR) methods are sensitive and robust, they are not cost-effective for managing large numbers of GM events due to their limited multiplexing capabilities. Conversely, digital PCR (dPCR) is capable of robust quantitative multiplexing in addition to other benefits such as absolute quantification and better tolerance of PCR inhibitors. In this context, we present a protocol for multiplex quantification of 19 GM soybean lines using dPCR as an improvement over the currently used simplex qPCR approach. This method enables simple and robust quantification of common GM soybean lines with a relatively low number of reactions