Hybrid Tool Research Articles

Abstract 717: Pan-cancer analysis of TRIM37 copy-number and development of fit-for-screening in situ hybridization tools

Abstract Background: Elevated TRIM37 protein levels, often driven by genomic copy number (CN) gains in cancer cells, lead to loss of the pericentriolar material during mitosis and increased dependence on PLK4-mediated centriole assembly. This synthetic lethal hypothesis is being tested in a phase I clinical trial evaluating the activity of the PLK4 inhibitor, RP-1664, in advanced solid tumors with TRIM37 CN gains or overexpression (LIONS, NCT06232408). In support of this clinical study, we characterized TRIM37 CN and RNA expression across a large genomic database and by imaging-based DNA and RNA in-situ hybridization. Methods: Whole exomes and transcriptomes from >12,000 adult solid tumors were analyzed for TRIM37 CN gain (CN > ploidy) or amplification (amp, CN ≥ ploidy + 2), respectively, or TRIM37 RNA expression (BostonGeneTM). Locus specific probes for fluorescence in-situ hybridization (FISH) were developed for TRIM37 and centromere 17 (CEP17). TRIM37 RNA-ISH was developed using the RNAscopeTM system (ACD BioTM). Results: Across adult solid tumors, TRIM37 amps, were most frequent in breast (9%), lung adenocarcinoma (5%), and melanoma (5%). Using the lower cutoff inclusive of TRIM37 gains, CN events were most often observed in urinary tract cancer (33%), lung adenocarcinoma (32.2%), breast cancer (26%), and squamous cell lung carcinoma (24.2%). TRIM37 CN levels were correlated with TRIM37 RNA expression in all indications examined. TRIM37 CN level was inversely correlated with segment length (coef -1.76, p-value = 6.1e-20). ERBB2 (HER2) is located approximately 19 megabases (mb) from TRIM37 and was often co-amplified, with 73% of ERBB2 gain/amps also having TRIM37 gain/amps. TRIM37 focal amps (<5.6 mb) were enriched in samples with co-occurring ERBB2 focal amps, even though these events were on different segments. HER2-enriched breast cancer had the highest percentage of focal TRIM37 amps (56%) and high-level amps (≥ 5 copies; 60%). To identify TRIM37 high patients clinically, we developed RNA and DNA ISH assays. TRIM37 DNA FISH ratio and ploidy corrected CN by NGS were strongly correlated (N=16, Pearson correlation = 0.89, p-value = 3.4x10-6). DNA FISH ratio was positively associated with RNA-ISH scores (Jonckheere-Terpstra test, P = 0.03), and of 16 TRIM37 FISH positive DNA-FISH samples, 14 were scored 2-3+ (≥4 copies/cell), while 2, scored 1+ (1-3 copies per cell) by RNA-ISH. Conclusions: A considerable population of adult solid tumors are TRIM37-high. Creation of fit-for-screening tools employing in-situ hybridization techniques may provide enhanced sensitivity for identification of patients with TRIM37-high tumors. Citation Format: Isabel Soria-Bretones,Joseph D. Schonhoft,Esha Jain,Nikita Kotlov,Parham Nejad,Daria F. Goncharova,Oleg A. Baranov,Jessica K. Scher,Elizabeth A. Sheehan,Vladimir A. Kushnarev,Konstantin Chernyshov,Gary Marshall,Ian M. Silverman,Victoria Rimkunas. Pan-cancer analysis of TRIM37 copy-number and development of fit-for-screening in situ hybridization tools [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 717.

Genetic Mechanisms Underlying Nuclear Male-sterility in Squash

Commercial deployment of male sterility is highly valued as a tool for efficient hybrid seed production by eliminating the need for emasculation. In squash (Cucurbita pepo L.), genetic male sterility is controlled by a single recessive gene designated ms-2. The phenotype conferred by ms-2 is characterized by shriveling and browning of the androecium. Marker-assisted selection targeting ms-2 would allow rapid introgression into elite squash inbred lines, but its genomic location is currently unknown. In the current study, an F2 bi-parental mapping population segregating male sterility was phenotyped in the greenhouse and subsequently used to identify genomic regions linked to the trait. QTL detection was performed using a combination of traditional linkage mapping and QTL-seq based on whole-genome resequencing. Using traditional linkage mapping, a major QTL explaining > 50% of the phenotypic variation was observed on LG4 of the squash genome. The QTL-seq strategy confirmed the loci on LG4, but additionally detected five other QTLs across the genome. A candidate gene encoding a ‘Novel INteractor of JAz’ (NINJA) protein was identified within the QTL on LG4. Cloning and sequence analysis of this gene identified sequence variants that could be useful for marker-assisted selection in squash.

Optimization of Process Parameters to Investigate the Fatigue Behavior of Fused Deposition Modeling-Fabricated ABS Parts Using Hybrid Tool

Optimization of Process Parameters to Investigate the Fatigue Behavior of Fused Deposition Modeling-Fabricated ABS Parts Using Hybrid Tool

Repeatability and agreement of a new anterior segment optical coherence tomography with standard devices in normal, keratoconus, and post-refractive eyes.

To assess repeatability and agreement of Eyestar 900 (Haag-Streit, Köniz, Switzerland) with Pentacam AXL Wave system (Oculus, Wetzlar, Germany), Anterion (Heidelberg Engineering GmBH, Heidelberg, Germany), and MS-39 (CSO, Florence, Italy) in measuring anterior segment parameters. Two hundred normal eyes, 50 keratoconus (KC) eyes, and 50 post-refractive surgery eyes underwent three sequential scans on each instrument. The order of scans was randomized. Repeatability was assessed using within-subject standard deviation (Sw) and intraclass correlation coefficient (ICC). Bland-Altman analysis was used to assess the 95% limits of agreement. Eyestar 900 had comparable repeatability to Anterion and MS-39 across groups. ICC was overall >0.8. Pentacam AXL Wave had lower Sw (better repeatability) across all groups. In normal eyes, Eyestar 900 can be used interchangeably with MS-39 and Anterion (P > 0.23). Eyestar 900 and Pentacam AXL Wave did not show agreement on any parameter, except anterior chamber depth (ACD) (P = 0.92). Eyestar 900 in KC eyes can be used interchangeably with MS-39, except for posterior keratometry (pK) and thinnest corneal thickness (TCT) (P < 0.001), and with Anterion, except for TCT and ACD (P < 0.001). In post-refractive eyes, Eyestar 900 can be used interchangeably with MS-39, except for pK (P < 0.001), and with Anterion, except for ACD (P < 0.001). Pentacam AXL Wave and Eyestar 900 cannot be used interchangeably in KC and post-refractive eyes. Newer devices such as Eyestar 900 can be used interchangeably with Anterion and MS-39 in normal eyes and partly in KC and post-refractive eyes. Pentacam AXL Wave and Eyestar 900 cannot be used interchangeably across the various groups. However, these multifunctional hybrid tools of combined topography, AS-OCT, can be helpful in refractive clinics.

Hybrid Tool Holder by Laser Powder Bed Fusion of Dissimilar Steels: Towards Eliminating Post-Processing Heat Treatment

The hybridization of additive manufacturing (AM) with conventional manufacturing processes in tooling applications allows the customization of the tool. Examples include weight reduction, improving the vibration-dampening properties, or directing the coolant to the critical zones through intricate conformal cooling channels aimed at extending the tool life. In this regard, metallurgical challenges like the need for a post-processing heat treatment in the AM segment to meet the thermal and mechanical properties requirements persist. Heat treatment can destroy the dimensional accuracy of the pre-manufactured heat-treated wrought segment, on which the AM part is built. In the case of dissimilar joints, heat treatment may further impact the interface properties through the ease of diffusional reactions at elevated temperatures or buildup of residual stresses at the interface due to coefficient of thermal expansion (CTE) mismatch. In this communication, we report on the laser powder bed fusion (L-PBF) processing of MAR 60, a weldable carbon-free maraging powder, to manufacture a hybrid tool holder for general turning applications, comprising a wrought segment in 25CrMo4 low-alloy carbon-bearing tool steel. After L-PBF process optimization and manipulation, as-built (AB) MAR 60 steel was characterized with a hardness and tensile strength of ~450 HV (44–45 HRC) and &gt;1400 MPa, respectively, matching those of pre-manufactured wrought 25CrMo4 (i.e., 42–45 HRC and 1400 MPa). The interface was defect-free with strong metallurgical bonding, showing slight microstructural and hardness variations, with a thickness of less than 400 µm. The matching strength and high Charpy V-notch impact energy (i.e., &gt;40 J) of AB MAR 60 eliminate the necessity of any post-manufacturing heat treatment in the hybrid tool.

A leucine responsive small RNA AbcR200 regulates expression of the lactate utilization (lut) operon in Acinetobacter baumannii DS002.

Noncoding small RNAs are essential for modulating bacterial gene expression, especially under carbon and nutrient-limited conditions. In this study, by using both in silico and molecular hybridization tools, we identified a carbon source responsive small RNA in Acinetobacter baumannii DS002. Expression of corresponding gene, abcR200, located at the intergenic region of omt (O-methyl transferase) and orf72 genes, is under the transcriptional control of a global transcriptional factor, leucine responsive regulatory protein (Lrp). A sequence motif that serves as a target for Lrp was found overlapping the abcR200 promoter (PabcR200). Chromatin immunoprecipitation demonstrated that Lrp oligomers, formed under low leucine conditions, strongly interacted to the PabcR200. However, the observed interactions were disrupted in the presence of leucine, as leucine promoted dissociation of Lrp to monomers and dimers, the conformation unfavorable to interact with PabcR200. The abcR200 promoter activity increased with increase of exogenous leucine concentrations, and at 2mM leucine concentration, maximum promoter activity was observed. The AbcR200 target mRNAs were identified by analyzing the transcriptome of abcR200 negative strain of A.baumannii. Intriguingly, in abcR200 negative background, expression of lut (lactate utilization) mRNA has increased, suggesting lut mRNA as one of the mRNA targets for AbcR200. Consistent of this observation, there existed extensive sequence complementarity between AbcR200 and lut mRNA, especially in the regions coding LutP, LutE, and LutR. In support of the observed sequence complementarity, the levels of lut mRNA encoded proteins got elevated in abcR200 negative HS002 strains suggesting a role for AbcR200 in translational inhibition of lut mRNA.

Single-molecule DNA-flow stretching assay as a versatile hybrid tool for investigating DNA-protein interactions

Single-molecule DNA-flow stretching assay as a versatile hybrid tool for investigating DNA-protein interactions

Hybrid natural language processing tool for semantic annotation of medical texts in Spanish

BackgroundNatural language processing (NLP) enables the extraction of information embedded within unstructured texts, such as clinical case reports and trial eligibility criteria. By identifying relevant medical concepts, NLP facilitates the generation of structured and actionable data, supporting complex tasks like cohort identification and the analysis of clinical records. To accomplish those tasks, we introduce a deep learning-based and lexicon-based named entity recognition (NER) tool for texts in Spanish. It performs medical NER and normalization, medication information extraction and detection of temporal entities, negation and speculation, and temporality or experiencer attributes (Age, Contraindicated, Negated, Speculated, Hypothetical, Future, Family_member, Patient and Other). We built the tool with a dedicated lexicon and rules adapted from NegEx and HeidelTime. Using these resources, we annotated a corpus of 1200 texts, with high inter-annotator agreement (average F1 = 0.841% ± 0.045 for entities, and average F1 = 0.881% ± 0.032 for attributes). We used this corpus to train Transformer-based models (RoBERTa-based models, mBERT and mDeBERTa). We integrated them with the dictionary-based system in a hybrid tool, and distribute the models via the Hugging Face hub. For an internal validation, we used a held-out test set and conducted an error analysis. For an external validation, eight medical professionals evaluated the system by revising the annotation of 200 new texts not used in development.ResultsIn the internal validation, the models yielded F1 values up to 0.915. In the external validation with 100 clinical trials, the tool achieved an average F1 score of 0.858 (± 0.032); and in 100 anonymized clinical cases, it achieved an average F1 score of 0.910 (± 0.019).ConclusionsThe tool is available at https://claramed.csic.es/medspaner . We also release the code (https://github.com/lcampillos/medspaner) and the annotated corpus to train the models.

Fundamental investigation of process stabilization through combined modification of milling tools with structured functional surfaces and asymmetric dynamic properties

AbstractDisturbance factors, such as self-excited tool vibrations, limit the performance of modern machining processes and thus restrict the quality, productivity, and sustainability of industrially manufactured components. Tools with functional flank-face structures as well as asymmetric dynamic properties represent two approaches that are capable of reducing such dynamic disturbances. Since up to now both approaches have solely been investigated separately, a hybrid concept was developed, applied, and evaluated that combines both techniques and exploits synergistic effects. It was shown that the compliance of milling tools can be specifically adjusted by appropriate dimensioning of laterally inserted grooves on the tool shank. In addition, a preparation of the cutting edges, e.g. applying surface structures, are still feasible. The effect of such a hybrid tool modification was evaluated based on in-process measurements and workpiece analyses. An increase of the process stability and, thus material removal rate of 85% compared to non-modified tools could be achieved, which also exceeded the stabilizing potential of tools that include only one modification approach.

Experimental evaluation of a feature based bipolar plate forming approach in a hybrid tool

The bipolar plate is a core component of a fuel cell and makes a decisive contribution to both system weight and cost. To reduce costs, metallic foils have been formed for several years to replace the conventional milled compound plates. The main challenge in forming is that the channel geometries must be produced with the highest accuracy requirements. Tolerances of a few micrometers should be maintained. The combination of high accuracy requirements with target production speed of less than one second and the complex geometric designs of flow fields pushes conventional forming technologies to their process limits. To meet this challenge, a procedure for feature-based forming has been developed (IDDRG2024) that enables multi-stage and hybrid forming. This allows bipolar plates to be manufactured independently of design but in a feature-specific production process. This previously developed theoretical process model will be physically validated and tested for effectiveness in investigations to be presented. For this purpose, a hybrid tool consisting of conventional stamping and rubber pad forming is set up, which is combined using precision workpiece transport. Using this tool, hybrid forming tests can be carried out based on previous numerical analysis to validate the procedure and derive an optimized process chain.

NEURO-FUZZY SYSTEM FOR DETECTING INTRUSIONS INTO THE INFORMATION NETWORK OF CRITICAL INFRASTRUCTURE

In the situation of Russia’s military aggression against Ukraine, the safety of people and the country largely depends on the reliability of critical infrastructure. In addition to physical attacks with weapons, Russia uses cyber weapons to attack the management systems of these facilities through cyberspace. Particularly alarming is the tendency for such facilities, which use modern technologies and operate in a single information environment, to remain vulnerable to new types of cyber threats, even with great efforts to protect them. This significantly complicates the task of ensuring long-term sustainability and security. Protecting information systems at such facilities is critical for the stable development of modern society. This article considers the task of detecting intrusions into critical infrastructure information networks. The main components of an intrusion detection system are identified and their functions are described. The article analyzes various approaches to detecting information security violations. The main methods of intrusion detection are characterized, their advantages and disadvantages are highlighted. It is shown that in order to increase the efficiency of detecting situations related to possible intrusion, it is necessary to use modern technologies of data mining. The features of technologies for use in intrusion detection systems were investigated, and based on the results of their comparative analysis, hybrid tools for detecting attacks were proposed. It is shown that the most promising for the task under consideration is the use of neuro-fuzzy methods. The architecture of a neuro-fuzzy system for detecting intrusions into the information network of critical infrastructure is proposed.

The Western Balkans at a crossroads: an old war front in new geopolitical compositions

The Western Balkans is transforming into one of the primary fronts of confrontation between global powers, where Russia's and Serbia's hybrid strategies directly challenge the stability and sovereignty of countries in the region. This paper examines the complex dimensions of this hybrid warfare, focusing on recent attacks in Banjska and Zvecan, which signify a deliberate escalation aimed at destabilizing Kosovo. Through the use of demographic manipulations, sabotage of critical infrastructure, and the provocation of ethnic tensions, Russia and Serbia are leveraging the Balkans as a battleground to advance their strategic projects, such as “Srpski Svet” and “Ruski Mir”. By comparing this approach to cases in Georgia and Ukraine, the paper highlights the use of hybrid tools, from propagandistic narratives to direct interventions, as a model for undermining democratic structures and increasing influence in the region.

A hybrid approach for the machinability analysis of Incoloy 825 using the entropy-MOORA method

Abstract With its exceptional qualities, Incoloy 825 is highly valued in a range of industries, including nuclear power plants, petrochemical plants, and chemical industries. Nevertheless, the unique combination of these properties presents a formidable challenge when it comes to machining Incoloy 825. Its low heat conductivity, rapid strain hardening, strong chemical affinity, and the presence of hard and abrasive particles in its microstructure all contribute to the difficulty. The objective of this study is to examine important factors related to the machinability of Incoloy 825. To achieve this, a hybrid tool called entropy coupled with MOORA will be used to determine the optimal cutting conditions. In order to achieve this, three specific input parameters were chosen: the spindle speed, feed rate, and depth of cut. Meanwhile, the major outcomes taken into account were the cutting force, cutting temperature, material removal rate, roughness of the machined surface, and flank wear. The experiments were conducted using Taguchi’s L27 orthogonal array, following the principles of experimental design. The findings indicate that the proposed hybrid approach is capable of accurately determining the best combination of parameters for cutting the chosen work material and can be employed in structural applications. For turning Incoloy 825, the optimal parametric setting was determined to be a spindle speed of 1,285 rpm, a feed rate of 0.0625 mm·rev−1, and a depth of cut of 0.3 mm.

Friction stir welding process parameters optimization and weld structure analyses to study mechanical characteristics using hybrid artificial intelligent soft computing techniques

AbstractFriction stir welding (FSW) is a solid-state fusion welding technique enormously used for welding different aluminum alloy plates. It involves a number of input parameters that significantly affect the different mechanical characteristics of the prepared weld joints. In this study, an attempt is made to optimize the input process parameters of FSW and the diverse mechanical characteristics of the resulting weld. The analysis of ultimate tensile strength (UTS), hardness, and yield strength (YS) is conducted following the test procedures outlined in the American Society for Testing and Materials (ASTM) standards E18-15 and E8-M04. The test specimens are prepared using two different aluminium alloy plates (AA6061-T6 and AA5083-H111). The response surface methodology-based face-centered central composite design (FCCD) strategy is used to develop the experimental design matrix. The input parameters values are varied at three levels. To predict more précised and optimized results, an adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm (GA), in combination, is exercised by utilizing the Matlab tool. Using field emission scanning electron microscopy (FESEM) images, structural analysis is performed to study behavior at the weld joint area. After conducting the tensile and hardness test, the maximum experimental value of UTS, hardness, and YS are noticed as 325 MPa, 69 HRB, and 265 MPa, respectively. By using the GA-ANFIS hybrid tool, the maximum value of UTS and hardness is noticed as 326.99 MPa and 71.40 HRB, respectively, using triangular TPP with 30.5 mm/minute welding speed and 1200 rpm tool pin profile. The optimized value of YS is observed as 271.56 MPa using cylindrical TPP with 24 mm/minute welding speed and 1600 rpm tool rotational speed. In the present work, FESEM-based images reveal a fine-grain structure in the stir zone for the optimized values of mechanical characteristics. The results obtained using the hybrid soft computing technique GA-ANFIS showed that these techniques are adequate tools for the optimization of FSW input process parameters and mechanical characteristics.

Clinical Applications and Advancements of Positron Emission Tomography/Computed Tomography in Cardio-Oncology: A Comprehensive Literature Review and Emerging Perspectives.

Recent advancements in molecular biology, biotechnology, chemistry/radiochemistry, artificial intelligence, and imaging techniques have significantly propelled the field of cardiovascular molecular imaging. This review aims to provide a comprehensive overview of the current state of cardiovascular positron emission tomography (PET) imaging and cardiac computed tomography (CT), exploring their roles in elucidating molecular and cellular processes, enabling early disease detection, and guiding novel therapeutic interventions for cardiovascular conditions. Cardiovascular PET imaging strives to uncover molecular and cellular events preceding visible anatomical manifestations or physiological changes. Meanwhile, cardiac CT has evolved into a multifaceted modality, offering insights into both anatomy and function. Utilizing advanced CT technologies allows for a thorough evaluation, encompassing fractional flow reserve, perfusion imaging, pericoronary adipose tissue attenuation, atherosclerotic plaque characterization, cardiomyopathies, structural cardiac abnormalities, and congenital heart anomalies. The emergence of hybrid imaging, combining PET and CT, presents innovative prospects in cardiology. This approach enables the simultaneous assessment of cardiac perfusion and coronary anatomy in a singular scan, providing complementary insights relevant to potential coronary artery disease. Despite the substantial potential impact, operational familiarity with this hybrid tool remains limited, and its integration into routine clinical practice warrants further exploration. In summary, the review underscores the transformative impact of recent technological advancements on cardiovascular molecular imaging. The integration of PET and CT, along with their individual capabilities, holds promise for early disease detection and informed clinical decision-making. While acknowledging the potential of hybrid imaging, it emphasizes the need for increased operational familiarity and continued exploration to facilitate its seamless integration into routine clinical practice. The insights gained from this review contribute to the ongoing dialogue in the field, offering a foundation for future research and advancements in cardiovascular imaging.

High-efficiency and stable laser transmission for laser and electrochemical machining

High-efficiency and stable laser transmission for laser and electrochemical machining

Novel extended hybrid tool for real time control and practically support decisions to reduce GHG emissions in full scale wastewater treatment plants

Novel extended hybrid tool for real time control and practically support decisions to reduce GHG emissions in full scale wastewater treatment plants

A hybrid tool wear prediction model based on JDA

PurposeAiming at solving the problems of low prediction accuracy and poor generalization caused by the difference in tool wear data distribution and the fixation of single global model parameters, a hybrid prediction modeling method for tool wear based on joint distribution adaptation (JDA) is proposed.Design/methodology/approachFirstly, JDA is exploited to adapt the data features with different data distributions. Then, the adapted data features are identified by the KNN classifier. Finally, according to the tool state classification results, different regression prediction models are assigned to different wear stages to complete the whole tool wear prediction task.FindingsThe results of milling experiments show that the maximum prediction accuracy of this method is 95.13%, and it has good recognition accuracy and generalization performance. Through the application of the tool wear hybrid prediction modeling method, the prediction accuracy and generalization performance of the model are improved and the tool monitoring is realized.Originality/valueThe research results can provide solutions and a theoretical basis for the application of tool wear monitoring technology in practical industrial applications.

An integrated hybrid approach for assembly tolerance transfer and allocation

PurposeThis study aims to develop an optimal tolerance allocation strategy involves integrating the unique transfer (UT) approach and the difficulty coefficient evaluation (DCE) routine in an interactive hybrid method. This method combines the strengths of both UT and DCE, ensuring simultaneous utilization for enhanced performance. The proposed tolerancing model manifests an integrated computer-aided design (CAD) tool.Design/methodology/approachBy combining UT and DCE based on failure mode, effects and criticality analysis (FMECA) tool and the Ishikawa diagram, the proposed collaborative hybrid tool ensures an efficient and optimal tolerance allocation approach. The integration of these methodologies not only addresses specific transfer challenges through UT but also conducts a thorough evaluation of difficulty coefficients via DCE routine using reliability analysis tools as FMECA tool and the Ishikawa diagram. This comprehensive framework contributes to a robust and informed decision-making process in tolerance allocation, ultimately optimizing the design and manufacturing processes.FindingsThe presented methodology is implemented with the aim of generating allocated tolerances that align with specific difficulty requirements, facilitating the creation of a mechanical assembly characterized by high quality and low cost. To substantiate and validate the conceptual framework and methods, an integrated tool has been developed, featuring a graphical user interface (GUI) designed in MATLAB. This interface serves as a platform to showcase various interactive and integrated tolerance allocation approaches that adhere to both functional and manufacturing prerequisites. The proposed integrated tool, designed with a GUI in MATLAB, offers the capability to execute various examples that effectively demonstrate the benefits of the developed tolerance transfer and allocation methodology.Originality/valueThe originality of the proposed approach is the twining between the UT and DCE simultaneous in an integrated and concurrent tolerance transfer and allocation model. Therefore, the proposed approach is named an integrated CAD/tolerance model based on the manufacturing difficulty tool. The obtained results underscore the tangible advantages stemming from the integration of this innovative tolerance transfer and allocation approach. These benefits include a notable reduction in total cost and a concurrent enhancement in product quality.

Investigation of a modified IEA 15MW wind turbine including a winglet with a new mid-fidelity acoustic toolchain

This paper presents the applicability of a new hybrid tool chain for wind turbine rotor turbulent boundary-layer trailing-edge noise (TBL-TEN) to complex rotor geometries. The research introduces a rapid, high-fidelity 2D CFD/CAA method, which enables the assessment of innovative low-noise profile designs concerning TBL-TEN, coupled with a mid-fidelity extrapolation technique for the 3D analysis, aiming to minimize computational time essential for design processes. This procedure is applied here to compare the changes in performance, load distribution and noise reduction if a winglet is added to a large-scale wind turbine, using the example of the IEA Wind TCP Task 47 15-MW-reference turbine [12]. In the first step, a 3D CFD calculation of the entire turbine is performed in order to derive the local flow parameters and thus the input variables for the 2D CAA. These results for the 2D TEN are then extrapolated for the entire turbine using the fast summation and extrapolation method TAP (Turbine acoustic prediction) [1]. As only data for the TEN is included here, only this noise source for the winglet can be analyzed. For a more complete comparison, a 3D scale-resolving simulation was set up for a static wind tunnel situation in order to be able to qualitatively classify the tip/vortex interaction noise that was not recorded by the procedure mentioned above.