Leveraging Partial Labels for Cervical Lesion Classification via a Multilabel Approach by Margaret Dy Manalo, Kota Aoki, Shuqiong Wu, Mariko Shindo, Yutaka Ueda, Yasushi Yagi

“…We first enhanced data quality via a comprehensive preprocessing pipeline that reduces the dataset to usable cervigrams. …”
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High content analysis of primary macrophages hosting proliferating Leishmania amastigotes: application to anti-leishmanial drug discovery. by Nathalie Aulner, Anne Danckaert, Eline Rouault-Hardoin, Julie Desrivot, Olivier Helynck, Pierre-Henri Commere, Hélène Munier-Lehmann, Gerald F Späth, Spencer L Shorte, Geneviève Milon, Eric Prina

“…Based on their intramacrophagic leishmanicidal activity and their toxicity against host cells, compounds were classified as irrelevant or relevant for entering the next step in the drug discovery pipeline.<h4>Conclusions/significance</h4>Our assay represents a new screening platform that overcomes several limitations in anti-leishmanial drug discovery. …”
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From InSAR‐Derived Subsidence to Relative Sea‐Level Rise—A Call for Rigor by P. S. J. Minderhoud, M. Shirzaei, P. Teatini

“…This study highlights the need for a robust InSAR‐data processing framework to accurately interpret VLM and its relationship to relative SLR. The processing pipeline should ensure internal consistency of SAR data and rigorously assess output accuracy, considering also post‐processing effects. …”
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Germany’s stance on the Nord Stream 2 project: Internal and external determinants by F. А. Basov

“…This became especially evident during the political struggle over the project of the new Nord Stream 2 gas pipeline. The author traces the evolution of the arguments of the key participants in the discussions sparked by the project in Germany before Russia began its special military operation in Ukraine and after it. …”
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On possibility of creating waveguide sound insulator based on MR material with metal inclusions by Yu. A. Burian, A. V. Zubarev, S. N. Polyakov, S. P. Bobrov

“…The problem of reducing the emitted vibrational energy through pipeline systems is relevant. The paper considers the fundamental possibility of constructing a waveguide silencer for pressure pulsations and hydrodynamic noise using MR material (metal rubber) with metal inclusions. …”
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INSPIRE Datahub: A Pan-African Integrated Suite of Services For Harmonising Longitudinal Population Health Data Using OHDSI Tools. by Bhattacharjee, Tathagata, Kiwuwa-Muyingo, Sylvia, Kanjala, Chifundo, Maoyi, Molulaqhooa L., Amadi, David, Ochola, Michael, Kadengye, Damazo, Gregory, Arofan, Kiragga, Agnes, Amelia, Taylor, Greenfield, Jay, Slaymaker, Emma, Todd, Jim, INSPIRE Network8

“…The OHDSI-based tools enable a comprehensive suite of services for data pipeline development, profiling, mapping, extraction, transformation, loading, documentation, anonymization, and analysis. …”
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Investigating the miRNA-mRNA interactome of human trabecular meshwork cells treated with TGF-β1 provides insights into the pathogenesis of pseudoexfoliation glaucoma. by Anton W Roodnat, Chelsey Doyle, Breedge Callaghan, Karen Lester, Megan Henry, Carl Sheridan, Declan J McKenna, Colin E Willoughby, Sarah D Atkinson

“…For both mRNA and miRNA species, differential expression was determined using a bioinformatics pipeline consisting of FastQC, STAR, FeatureCounts, edgeR (for miRNA) and DESeq2 (for mRNA). …”
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AI-Based Holistic Framework for Cyber Threat Intelligence Management by Arnolnt Spyros, Ilias Koritsas, Angelos Papoutsis, Panos Panagiotou, Despoina Chatzakou, Dimitrios Kavallieros, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris

“…In particular, we have developed a novel pipeline in ThreatWise AI which incorporates different advanced tools, with distinct capabilities that interact with each other to provide a complete set of functionalities for the administration of the overall CTI lifecycle. …”
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Milk adulteration identification using hyperspectral imaging and machine learning by Muhammad Aqeel, Ahmed Sohaib, Muhammad Iqbal, Syed Sajid Ullah

“…Training, testing, and validation accuracy, precision, recall, F1 score, kappa, and Matthew's correlation coefficient metrics showcase the effectiveness of the proposed pipeline, outclassing numerous state-of-the-art approaches with a validation accuracy of 100%. …”
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Antimicrobial and antiproliferative activity of biosynthesized manganese nanocomposite with amide derivative originated by endophytic Aspergillus terreus by Nashwa El-Gazzar, Reem Farouk, Nervana S. Diab, Gamal Rabie, Basel Sitohy

“…Conclusion The use of HDOCOX, either alone or in combination with MnNPs, is a potential candidate for inhibiting pathogenic microbes and the development of an anticancer drug pipeline.…”
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A Physics-Informed Cold-Start Capability for xEV Charging Recommender System by Raik Orbay, Aditya Pratap Singh, Johannes Emilsson, Michele Becciani, Evelina Wikner, Victor Gustafson, Torbjorn Thiringer

“…Matching a unsupervised learning based clustering pipeline for 7 possible customer driving styles, an RS agent can prescribe 7 charging power transients automatically and cold-start the RS until more data is available.…”
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Drawing-Aware Parkinson&#x2019;s Disease Detection Through Hierarchical Deep Learning Models by Ioannis Kansizoglou, Konstantinos A. Tsintotas, Daniel Bratanov, Antonios Gasteratos

“…At the same time, we conclude that a careful implementation of each component of the introduced hierarchical pipeline enhances recognition rates. A rigorous 5-fold cross-validation strategy is adopted for evaluation, indicating our system&#x2019;s robust behavior under different testing scenarios. …”
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Metagenomic Detection of Multiple Viruses in Monk Parakeet (Myiopsitta monachus) in Australia by Babu Kanti Nath, Suman Das Gupta, Saranika talukder, Nasrin Sultana Tonu, Shane R. Raidal, Jade K. Forwood, Subir Sarker

“…Results Utilising an established pipeline for high‐throughput sequencing data analysis, this study revealed the presence of three viruses of the families Circoviridae, Parvoviridae and Adenoviridae. …”
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Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach by Kourosh Hayatigolkhatmi, Chiara Soriani, Emanuel Soda, Elena Ceccacci, Oualid El Menna, Sebastiano Peri, Ivan Negrelli, Giacomo Bertolini, Gian Martino Franchi, Roberta Carbone, Saverio Minucci, Simona Rodighiero

“…In this study, we addressed this gap by combining a specialized surface to enhance cell attachment, the FUCCI(CA)2 sensor, an automated image analysis pipeline, and a custom machine learning algorithm. …”
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Confocal Live Imaging of Reproductive Organs Development in Arabidopsis by Binghan Wang, Amélie Bauer, Andrea Gómez-Felipe, Sylvia Silveira, Daniel Kierzkowski

“…Here, we describe a detailed pipeline for the preparation, dissection, and confocal imaging of the development of internal reproductive floral organs of Arabidopsis thaliana including both the stamen and gynoecium. …”
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DeepGlioSeg: advanced glioma MRI data segmentation with integrated local-global representation architecture by Ruipeng Li, Yuehui Liao, Yueqi Huang, Xiaofei Ma, Guohua Zhao, Yanbin Wang, Chen Song

“…The quantitative and qualitative findings consistently show that DeepGlioSeg achieves superior segmentation performance over other state-of-the-art methods.DiscussionBy integrating CNN- and Transformer-based features in parallel and adaptively emphasizing underrepresented tumor regions, DeepGlioSeg effectively addresses the challenges associated with glioma heterogeneity and imbalanced region distributions. The final pipeline, augmented with TTA and VC post-processing, demonstrates robust segmentation capabilities. …”
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The Study of Viral RNA Diversity in Bird Samples Using De Novo Designed Multiplex Genus-Specific Primer Panels by Andrey A. Ayginin, Ekaterina V. Pimkina, Alina D. Matsvay, Anna S. Speranskaya, Marina V. Safonova, Ekaterina A. Blinova, Ilya V. Artyushin, Vladimir G. Dedkov, German A. Shipulin, Kamil Khafizov

“…In this study, we have developed a computational pipeline for designing the oligonucleotides capable of covering a significant number of known viruses within various taxonomic orders, as well as their novel variants. …”
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A scalable tool for analyzing genomic variants of humans using knowledge graphs and graph machine learning by Shivika Prasanna, Ajay Kumar, Deepthi Rao, Eduardo J. Simoes, Praveen Rao

“…VariantKG extracts variant-level genetic information output by a variant calling pipeline, annotates the variant data with additional metadata, and converts the annotated variant information into a KG represented using the Resource Description Framework (RDF). …”
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Computational analysis of congenital heart disease associated SNPs: unveiling their impact on the gene regulatory system by Shikha Vashisht, Costantino Parisi, Cecilia L. Winata

“…Here, we developed a systematic computational pipeline for the identification and analysis of CHD-associated SNPs spanning both coding and noncoding regions of the genome. …”
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NHSL3 controls single and collective cell migration through two distinct mechanisms by Nikita M. Novikov, Jinmei Gao, Artem I. Fokin, Nathalie Rocques, Giovanni Chiappetta, Karina D. Rysenkova, Diego Javier Zea, Anna Polesskaya, Joelle Vinh, Raphael Guerois, Alexis M. Gautreau

“…We identify the partner repertoire of each isoform using proteomics and predict direct partners and their binding sites using an AlphaFold2-based pipeline. Rescue with specific isoforms, and lack of rescue when relevant binding sites are mutated, establish that the interaction of a long isoform with MENA/VASP proteins is critical at cell-cell junctions for collective migration, while the interaction of a short one with 14-3-3θ in lamellipodia is critical for single cell migration. …”
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