Visualising Medical Research: Exploring the Influence of Infographics on Professional Dissemination by Sujin Butdisuwan, Lovely M. Annamma, A. Subaveerapandiyan, Biji Thomas George, Sanjay Kataria

“…Method. Data collection involves an online survey distributed to potential participants through professional networks and research institutions. …”
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Intersecting impact of CAG repeat and huntingtin knockout in stem cell-derived cortical neurons by Jennifer T. Stocksdale, Matthew J. Leventhal, Stephanie Lam, Yu-Xin Xu, Yang Oliver Wang, Keona Q. Wang, Reuben Thomas, Zohreh Faghihmonzavi, Yogindra Raghav, Charlene Smith, Jie Wu, Ricardo Miramontes, Kanchan Sarda, Heather Johnston, Min-Gyoung Shin, Terry Huang, Mikelle Foster, Mariya Barch, Naufa Amirani, Chris Paiz, Lindsay Easter, Erse Duderstadt, Vineet Vaibhav, Niveda Sundararaman, Dan P. Felsenfeld, Thomas F. Vogt, Jennifer Van Eyk, Steve Finkbeiner, Julia A. Kaye, Ernest Fraenkel, Leslie M. Thompson

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Efficient Sedimentary Facies Recognition Using Vision Transformer and Weakly Supervised Deep Multi-View Clustering by Hao Wu, Yu-Jie Dai, Xin-Yu Liu

“…Experimental results show that this method achieves higher accuracy and robustness across multiple sedimentary facies datasets, significantly outperforming traditional Convolutional Neural Networks methods in recognition performance. This research provides a novel solution for sedimentary facies recognition, especially suited for scenarios with limited labeled data and complex, diverse features, and offers new research directions for future deep learning-based geological data analysis.…”
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Lung volume assessment for mean dark-field coefficient calculation using different determination methods by Florian T. Gassert, Jule Heuchert, Rafael Schick, Henriette Bast, Theresa Urban, Tina Dorosti, Gregor S. Zimmermann, Sebastian Ziegelmayer, Alexander W. Marka, Markus Graf, Marcus R. Makowski, Daniela Pfeiffer, Franz Pfeiffer

“…Methods In this retrospective analysis of data prospectively acquired between October 2018 and October 2020, patients at least 18 years of age who underwent chest computed tomography (CT) were screened for study participation. …”
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Adversarial domain adaptation for deforestation detection in remote sensing imagery by José Matheus Fonseca dos Santos, Pedro Juan Soto Vega, Guilherme Lucio Abelha Mota, Gilson Alexandre Ostwald Pedro da Costa

“…Additionally, the accuracy delivered by those networks is directly impacted by the quality and volume of training data. …”
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Research Advances on Distributed Acoustic Sensing Technology for Seismology by Alidu Rashid, Bennet Nii Tackie-Otoo, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Siti Nur Fathiyah Jamaludin, Dejen Teklu Asfha

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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells. by Owen M O'Connor, Mary J Dunlop

“…Deep learning-based methods for identifying and tracking cells within microscopy images have revolutionized the speed and throughput of data analysis. …”
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Approaches used to prevent and reduce the use of restrictive practices on adults with learning disabilities: a realist review by Joy Duxbury, Alina Haines-Delmont, John Baker, Peter Baker, Gary Bourlet, Elaine Craig, James Ridley, Rachel Whyte, Beth Morrison, Michaela Thomson, Anthony Tsang, Tella Lantta

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Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students by Olga Navarro Martínez, David Fernández-García, Noemí Cuartero Monteagudo, Olga Forero-Rincón

“…Background: “DeepFakes” are synthetic performances created by AI, using neural networks to exchange faces in images and modify voices. …”
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Adaptation and validation of DNA synthesis detection by fluorescent dye derivatization for high-throughput screening by Max V. Ranall, Brian G. Gabrielli, Thomas J. Gonda

“…We demonstrate that chemical detection of EdU incorporation is effective for high-resolution analysis and quantitation of DNA synthesis by high-content imaging. …”
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Analyzing the Impact of the Presence of Foreign Tourists in Religious Places on Their Attitude Towards Shiism by Marziyeh Farshiddost, Behrooz Badkoo, Mohamad Ghasemisiani

“…These people have been selected by the purposeful sampling method of 15 people and a semi-structured interview has been conducted using the qualitative method. Data analysis has been done in the form of open, central and selective coding using the grounded theory method. …”
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An Integrated UAV and Deep Learning Framework With HSB-Based Segmentation for Automated Slope Anomaly Detection in Mountainous Soil and Water Conservation Sites by Nai-Hsin Pan, Bo-Yuan Chang

“…By integrating UAVs for data acquisition and deep learning for automated analysis, the proposed system significantly reduces human labor costs, improves inspection efficiency, and provides a robust and reliable solution for anomaly detection and analysis. …”
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Progression risk of adolescent idiopathic scoliosis based on SHAP-Explained machine learning models: a multicenter retrospective study by Xinyi Fang, Ting Weng, Zhehao Zhang, Wanfeng Gong, Yu Zhang, Mei Wang, Jianhua Wang, Zhongxiang Ding, Can Lai

“…Abstract Objective To develop an interpretable machine learning model, explained using SHAP, based on imaging features of adolescent idiopathic scoliosis extracted by convolutional neural networks (CNNs), in order to predict the risk of curve progression and identify the most accurate predictive model. …”
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Use of Vision Transformer to Classify Sea Surface Phenomena in SAR Imagery by Junfei Xia, Roland Romeiser, Wei Zhang, Tamay Ozgokmen

“…The rapid advancement of satellite technology has led to a substantial increase in the volume of remote sensing data, particularly synthetic aperture radar (SAR) imagery, demanding efficient processing and analysis solutions. …”
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Prospective observational study to assess the performance accuracy of clinical decision rules in children presenting to emergency departments with possible cervical spine injuries:... by Franz E Babl, Simon Craig, Susan M Donath, Meredith L Borland, Natalie Phillips, Amit Kochar, Gavin A Davis, Shane George, Stuart Dalziel, Arjun Rao, Nathan Kuppermann, Stacy Goergen, Sarah Watson, Amanda Williams, Eunicia Tan, Catherine L Wilson, Michelle Davison, Blessy John-Denny, Sonia Singh, Sharon O’Brien, Geoffrey N Askin, Chris J Selman, Julie C Leonard

“…Data will be collected on presenting features (history, injury mechanism, physical examination findings) and management (diagnostic imaging, admission, interventions, outcomes). …”
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Intelligent Prediction of Human Health Risks Based on Medical History: A Review by Mais Irreem kamal, Fawziya Ramo

“…Enhance patient medical care using intelligent prediction models such as machine learning, like gradient boosting trees, supervised machine learning and logistic regression which have a great importance in detecting diseases by analyzing medical images and diagnosing chronic diseases, in addition to use deep learning models like deep neural networks, recurrent neural networks, and long short term memory to predict many disease like depression risk, lung cancer, heart diabetic and kidney diseases. …”
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Artificial intelligence in acupuncture: bridging traditional knowledge and precision integrative medicine by Guo-Liang Hou, Bao-Qiang Dong, Ben-Xing Yu, Jian-Yu Dai, Xing-Xing Lin, Ze-Zhong Cheng

“…For instance, convolutional neural networks (CNNs) have been successfully applied to classify tongue images and detect ZHENG patterns, while transformer-based NLP models enable automated extraction of clinical knowledge from classical texts. …”
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Childhood brain morphometry in children with persistent stunting and catch-up growth. by Beena Koshy, Vedha Viyas Thilagarajan, Samuel Berkins, Arpan Banerjee, Manikandan Srinivasan, Roshan S Livingstone, Venkata Raghava Mohan, Rebecca Scharf, Anitha Jasper, Gagandeep Kang

“…<h4>Interpretation</h4>To the best of our knowledge, this first neuroimaging analysis to investigate the effects of persistent childhood stunting and catch-up growth on brain volumetry indicates impairment at different brain levels involving total brain and subcortical volumes, networking/connecting centres (thalamus, basal ganglia, callosum, cerebellum) and visual processing area of lateral occipital cortex.…”
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A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology by Yanni Wang, Wisit Cheungpasitporn, Hatem Ali, Jianbo Qing, Charat Thongprayoon, Wisit Kaewput, Karim M. Soliman, Zhengxing Huang, Min Yang, Zhongheng Zhang

“…Future directions in AI-driven nephrology include multimodal data fusion for improved predictive modeling, deep learning for automated imaging analysis, wearable-based monitoring, and clinical decision support systems (CDSS) that integrate comprehensive patient data. …”
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SBML Level 3: an extensible format for the exchange and reuse of biological models by Sarah M Keating, Dagmar Waltemath, Matthias König, Fengkai Zhang, Andreas Dräger, Claudine Chaouiya, Frank T Bergmann, Andrew Finney, Colin S Gillespie, Tomáš Helikar, Stefan Hoops, Rahuman S Malik‐Sheriff, Stuart L Moodie, Ion I Moraru, Chris J Myers, Aurélien Naldi, Brett G Olivier, Sven Sahle, James C Schaff, Lucian P Smith, Maciej J Swat, Denis Thieffry, Leandro Watanabe, Darren J Wilkinson, Michael L Blinov, Kimberly Begley, James R Faeder, Harold F Gómez, Thomas M Hamm, Yuichiro Inagaki, Wolfram Liebermeister, Allyson L Lister, Daniel Lucio, Eric Mjolsness, Carole J Proctor, Karthik Raman, Nicolas Rodriguez, Clifford A Shaffer, Bruce E Shapiro, Joerg Stelling, Neil Swainston, Naoki Tanimura, John Wagner, Martin Meier‐Schellersheim, Herbert M Sauro, Bernhard Palsson, Hamid Bolouri, Hiroaki Kitano, Akira Funahashi, Henning Hermjakob, John C Doyle, Michael Hucka, SBML Level 3 Community members, Richard R Adams, Nicholas A Allen, Bastian R Angermann, Marco Antoniotti, Gary D Bader, Jan Červený, Mélanie Courtot, Chris D Cox, Piero Dalle Pezze, Emek Demir, William S Denney, Harish Dharuri, Julien Dorier, Dirk Drasdo, Ali Ebrahim, Johannes Eichner, Johan Elf, Lukas Endler, Chris T Evelo, Christoph Flamm, Ronan MT Fleming, Martina Fröhlich, Mihai Glont, Emanuel Gonçalves, Martin Golebiewski, Hovakim Grabski, Alex Gutteridge, Damon Hachmeister, Leonard A Harris, Benjamin D Heavner, Ron Henkel, William S Hlavacek, Bin Hu, Daniel R Hyduke, Hidde de Jong, Nick Juty, Peter D Karp, Jonathan R Karr, Douglas B Kell, Roland Keller, Ilya Kiselev, Steffen Klamt, Edda Klipp, Christian Knüpfer, Fedor Kolpakov, Falko Krause, Martina Kutmon, Camille Laibe, Conor Lawless, Lu Li, Leslie M Loew, Rainer Machne, Yukiko Matsuoka, Pedro Mendes, Huaiyu Mi, Florian Mittag, Pedro T Monteiro, Kedar Nath Natarajan, Poul MF Nielsen, Tramy Nguyen, Alida Palmisano, Jean‐Baptiste Pettit, Thomas Pfau, Robert D Phair, Tomas Radivoyevitch, Johann M Rohwer, Oliver A Ruebenacker, Julio Saez‐Rodriguez, Martin Scharm, Henning Schmidt, Falk Schreiber, Michael Schubert, Roman Schulte, Stuart C Sealfon, Kieran Smallbone, Sylvain Soliman, Melanie I Stefan, Devin P Sullivan, Koichi Takahashi, Bas Teusink, David Tolnay, Ibrahim Vazirabad, Axel von Kamp, Ulrike Wittig, Clemens Wrzodek, Finja Wrzodek, Ioannis Xenarios, Anna Zhukova, Jeremy Zucker

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