An Analytical Approach Differentiates Between Individual and Collective Cancer Invasion by Elad Katz, Wim Verleyen, Colin G. Blackmore, Michael Edward, V. Anne Smith, David J. Harrison

“…We have developed a process using automated imaging for data collection, unsupervised morphological examination of breast cancer invasion using cognition network technology (CNT) to determine how many patterns of invasion can be reliably discriminated. …”
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Characterisation of native Dagestan grape cultivars using SSR-analysis and the main ampelographic features of the leaves by E. T. Ilnitskaya, I. I. Suprun, L. G. Naumova, S. V. Tokmakov, V. A. Ganich

“…DNA profiles of 9 local Dagestan grape cultivars were obtained on microsatellite loci VVMD5, VVMD7, VVMD27, VVS2, VrZAG62 and VrZAG79 using an automated genetic analyzer ABI Prism 3130. The SSR-markers are recommended as the main for Vitis vinifera L. genotyping. …”
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Comparison evaluation of bacterial DNA extraction methods for improved molecular diagnostic accuracy of sepsis-causing pathogens in clinical whole blood samples by Byungjoon Na, Junghun Park, Sojin Park, Eunseon Park, Jimin Jang, Yu-Hee Kim, Jinyeop Lee, Hae-Sun Chung

“…These findings highlight the superior performance of magnetic bead-based methods, particularly when automated, for extracting bacterial DNA from whole blood samples. …”
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Identification of global main cable line shape parameters of suspension bridges based on local 3D point cloud by Yurui Li, Danhui Dan, Ruiyang Pan

“…The method proposed in this paper offers advantages such as highly automated, low risk, low cost, and sustainability, making it suitable for green monitoring throughout the entire main cable construction process.…”
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The Estimates of Retinal Ganglion Cell Counts Performed Better than Isolated Structure and Functional Tests for Glaucoma Diagnosis by Bruno L. B. Esporcatte, Andrea C. Kara-José, Luiz Alberto S. Melo, Luciano M. Pinto, Ivan M. Tavares

“…To evaluate the diagnostic accuracy of retinal ganglion cell (RGC) counts as estimated by combining data from standard automated perimetry (SAP) and spectral domain optical coherence tomography (SD-OCT). …”
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Breastfeeding and Neonatal Age Influence Neutrophil-Driven Ontogeny of Blood Cell Populations in the First Week of Human Life by Sebastiano Montante, Rym Ben-Othman, Nelly Amenyogbe, Asimenia Angelidou, Anita van den Biggelaar, Bing Cai, Yixuan Chen, Alansana Darboe, Joann Diray-Arce, Rebecca Ford, Olubukola Idoko, Amy Lee, Mandy Lo, Kerry McEnaney, Mehrnoush Malek, David Martino, Geraldine Masiria, Oludare A. Odumade, William Pomat, Casey Shannon, Kinga Smolen, The EPIC Consortium, Al Ozonoff, Peter Richmond, Scott Tebbutt, Ofer Levy, Beate Kampmann, Ryan Brinkman, Tobias Kollmann

“…The subsequent analysis was conducted at an unprecedented level of detail using flow cytometry and an unbiased automated gating algorithm. The results showed that WBC composition in peripheral blood changes along patterns highly conserved across populations and environments. …”
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Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model by Merjulah Roby, Juan C. Restrepo, Haehwan Park, Satish C. Muluk, Mark K. Eskandari, Seungik Baek, Ender A. Finol

“…Hence, there is a growing need for automated segmentation algorithms, particularly when these influence treatment planning. …”
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AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

“…ResultsSignificant predictors of diabetes included hypertension (χ1Pχ1Pt3082Pt3082P ConclusionsThis study focused on modifiable risk factors, providing crucial data for establishing a system for the automated collection of health information and lifelog data from older adults using digital devices at service facilities.…”
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Association between Combined Structure Function Index and Glaucoma Severity by Shumpei Ogawa, Yoshimasa Tanabe, Yoshinori Itoh, Takahiko Noro, Hisato Gunji, Tadashi Nakano

“…The aim of this study was to investigate the relationship between combined structure function index (CSFI) and standard automated perimetry (SAP) parameters such as mean deviation (MD) and visual field index (VFI) in open-angle glaucoma (OAG). …”
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Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…Monitoring the condition of machineries and mechanical components for the presence of faults with the aid of image-based automated analysis is one major application of computer vision. …”
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Initiation of the Dutch Inguinal Hernia Audit (DIHA): A survey on support for registration, obstacles, and possible areas of improvement by Richtje R. Meuzelaar, Floris P. J. den Hartog, Pieter J. Tanis, Anandi H. W. Schiphorst, Josephina P. J. Burgmans

“…Collecting these PROMs in a digital, automated format will facilitate successful implementation by minimizing administrative burden.…”
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CodeContrast: A Contrastive Learning Approach for Generating Coherent Programming Exercises by Nicolás Torres

“…CodeContrast advances the automated generation of high-quality programming exercises, capturing relationships among programming components to enhance educational content and improve the learning experience for students and instructors.…”
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Gambaran Castelli’s Risk Index-1 pada Pasien Sindrom Koroner Akut di RSUP Dr. M. Djamil Padang by Eka Musmita Sabebegen, Rismawati Yaswir, Efrida Efrida

“…Colorimetric enzymatic method using automated clinical chemistry used to measure total cholesterol and HDL cholesterol. …”
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YOLO-TC: An Optimized Detection Model for Monitoring Safety-Critical Small Objects in Tower Crane Operations by Dong Ding, Zhengrong Deng, Rui Yang

“…This model holds significant promise for enhancing automated safety monitoring, potentially reducing occupational hazards by providing a proactive, resilient solution for real-time risk detection in tower crane operations.…”
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The Role of AMPS in Parkinson’s Disease Management: Scoping Review and Meta-Analysis by Roberto Tedeschi, Danilo Donati, Federica Giorgi

“…<b>Background:</b> Automated Mechanical Peripheral Stimulation (AMPS) is emerging as a potential therapeutic tool for managing motor and non-motor symptoms in individuals with Parkinson’s disease (PD), particularly in terms of improving gait, balance, and autonomic regulation. …”
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Long-term consequences of the Chornobyl disaster for aquatic ecosystems: A retrospective analysis and prognosis by R. Makhinko

“…A set of innovative measures to minimise negative consequences was proposed, including the use of nanotechnologies, genetically modified organisms, and automated monitoring systems. The need for international cooperation and the creation of a global database for long-term management of polluted aquatic ecosystems was substantiated. …”
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Discovering non-associated pressure-sensitive plasticity models with EUCLID by Haotian Xu, Moritz Flaschel, Laura De Lorenzis

“…Abstract We extend (EUCLID Efficient Unsupervised Constitutive Law Identification and Discovery)—a data-driven framework for automated material model discovery—to pressure-sensitive plasticity models, encompassing arbitrarily shaped yield surfaces with convexity constraints and non-associated flow rules. …”
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A novel wireless sensor network deployment for monitoring and predicting abnormal actions in medical environment and patient health state by R. Manikandan, S. Arunprakash, Rakan A. Alsowail, Tharani Pandiaraj

“…The system employs deep convolutional neural networks (DCNNs) and long short-term memory (LSTM) models to automate healthcare functions such as patient monitoring, infrastructure management, and disease prediction. …”
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Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach by Midhun P. Mathew, Sudheep Elayidom, V. P. Jagathy Raj, K. M. Abubeker

“…This research contributes to advancing the field of automated plant disease classification, addressing critical challenges in modern agriculture and promoting more efficient and sustainable farming practices.…”
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RELEVANCE AND LINGUISTIC ACCURACY OF THE INFORMATION PROVIDED ON WEBSITES by Neringa Lekandrė, Gemma Navickienė

“…To avoid the most common pitfalls, more effort should be invested in delivering relevant and linguistically accurate information online; automated translation tools should not be used if there are no human resources available to check for errors; spelling and grammar checking applications and writing assistants should be applied.…”
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