INFLUENCE OF BASIC DENTAL PLASTICS ON BLOOD INDICATORS OF WHITE RATS (EXPERIMENTAL STUDY) by V.S. Kuz, V.N. Dvornyk, G.M. Kuz, O.Ye. Akimov

“…Euthanasia of animals was performed 7 days after surgical intervention under hexenal anesthesia by blood transfusion from the right ventricle. …”
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Longitudinal Comparison of Geographic Atrophy Enlargement Using Manual, Semiautomated, and Deep Learning Approaches by Jacob Bogost, Rachel E. Linderman, PhD, Robert Slater, PhD, Thomas F. Saunders, OD, Caleb Pacheco, Jeong Pak, PhD, Rick Voland, PhD, Barbara Blodi, MD, Amitha Domalpally, MD, PhD

“…Conclusions: Artificial intelligence accurately measures GA in approximately 85% of cases, requiring human intervention in only 15%, indicating potential to streamline GA measurement in clinical trials while maintaining human oversight. …”
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Multimodal Machine Learning‐Based Marker Enables Early Detection and Prognosis Prediction for Hyperuricemia by Lin Zeng, Pengcheng Ma, Zeyang Li, Shengxing Liang, Chengkai Wu, Chang Hong, Yan Li, Hao Cui, Ruining Li, Jiaren Wang, Jingzhe He, Wenyuan Li, Lushan Xiao, Li Liu

“…Early detection and prognosis prediction for HUA and gout are crucial for pre‐emptive interventions. Integrating genetic and clinical data from 421287 UK Biobank and 8900 Nanfang Hospital participants, a stacked multimodal machine learning model is developed and validated to synthesize its probabilities as an in‐silico quantitative marker for hyperuricemia (ISHUA). …”
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Hospital-wide natural language processing summarising the health data of 1 million patients. by Daniel M Bean, Zeljko Kraljevic, Anthony Shek, James Teo, Richard J B Dobson

“…Here we describe the application of open-source named-entity-recognition and linkage (NER+L) methods (CogStack, MedCAT) to the entire text content of a large UK hospital trust (King's College Hospital, London). …”
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Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model by Nasirul Mumenin, Maisha Mumtaz Rahman, Mohammad Abu Yousuf, Farzan M. Noori, Md Zia Uddin

“…Timely and accurate detection is essential to enable interventions that significantly enhance developmental outcomes. …”
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Volumetric atlas of the rat inner ear from microCT and iDISCO+ cleared temporal bones by Daniele Cossellu, Elisa Vivado, Laura Batti, Ivana Gantar, Roberto Pizzala, Paola Perin

“…Background Volumetric atlases are an invaluable tool in neuroscience and otolaryngology, greatly aiding experiment planning and surgical interventions, as well as the interpretation of experimental and clinical data. …”
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Towards a new perspective: Exploring the variability of conditional risk factors for multimorbidity susceptibility among older adults in India. by Ajay Kumar, Suryakant Yadav

“…By using an inclusive morbidity framework and CART modeling, it underscores the multifactorial nature of multimorbidity and highlights key interconnected determinants for future policy interventions.…”
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Improving the functionality, 5S rating, and inventory management system of the supply department of a regimental academy in the Philippines through industrial engineering applicati... by Geraldine G. Nerona, Jorina R. Bohol, Kyla Nicole R. Decena, Jonathan N. Jose, Anjelika N. De Guzman, John Carlo R. Rodriguez, Kate Shyra M. Abiado, Mark Christian O. Aquino, Sandra Nicole L. Antolin, Nicole Ivy G. Kalaw, Anne Claire N. Paulino

“…The new facility layout also increased productivity and efficiency among the supply clerks, since it minimized the time needed to stack, locate and release supplies. The practice of 5S encouraged cleanliness and orderliness within the supply room. …”
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The impact of multipollutant exposure on hepatic steatosis: a machine learning-based investigation into multipollutant synergistic effects by Chunying Yan, Zhanfang Zhu, Xueyan Guo, Wei Zong, Guisheng Liu, Yan Jin, Shiyuan Cui, Fuqiang Liu, Shujuan Gao

“…Methodological advancements integrate exposomics with interpretable artificial intelligence, facilitating targeted interventions in environmental health.…”
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Multimodal machine learning-based marker enables the link between obesity-related indices and future stroke: a prospective cohort studyResearch in context by Beilei Hu, Xuan Chen, Tingyang Chen, Tong Xu, Yungang Cao, Jing Sun, Xuanyu Chen, Songfang Chen, Keyang Chen

“…Additionally, early detection and prognosis prediction for stroke and mortality are crucial for pre-emptive interventions. We examined to evaluate the utility of obesity-related indices in a stacked machine learning (ML) model by developing an in-silico quantitative marker (ISS) to predict stroke risk. …”
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The peers expanding engagement in stimulant harm reduction with contingency management study: a protocol paper by Alexis Cooke, Erin Stack, Linda Peng, Ryan Cook, Bryan Hartzler, Gillian Leichtling, Christi Hildebran, Judith M. Leahy, Kelsey Smith Payne, Lynn E. Kunkel, Kim Hoffman, P. Todd Korthuis

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OPENSTACK ON RASPBERRY PI: A SWOT ANALYSIS OF DEPLOYING A CLOUD COMPUTING PLATFORM ON SINGLE-BOARD COMPUTERS by Lyberius Ennio F. Taruc, Arvin R. De La Cruz

“…After comparing five relevant use cases, it can be concluded that deploying OpenStack to the RPi Cluster, or OpenStack-on-RPi, is feasible, though further research and testing that will optimize this use case is recommended.…”
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Image quality evaluation of imaging skins, a novel stretchable X-ray detector for intraoperative tumour imaging by Solène Dietsch, Harry Allan, Lukas Lindenroth, Robert Moss, Agostino Stilli, Danail Stoyanov

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RF-Based Sensing and AI Decision Support for Stroke Patient Monitoring: A Digital Twin Approach by Sagheer Khan, Usman Anwar, Aftab Khan, Tughrul Arslan

“…Regular monitoring and timely intervention are critical to minimizing the damage and improving outcomes. …”
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IoT enabled health monitoring system using rider optimization algorithm and joint process estimation by J. Prabin Jose, G. Jaffino, Mohammed Al Awadh, Koppula Srinivas Rao, Yan Yafang, Krishna Moorthy Sivalingam

“…In this work joint process estimator rider optimization algorithm (JPEROA) for Deep stack auto-encoder is proposed to perform the classification task. …”
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Automated assessment of simulated laparoscopic surgical skill performance using deep learning by David Power, Cathy Burke, Michael G. Madden, Ihsan Ullah

“…We provide detailed statistical analyses to identify and compare poorly performed and well-executed operations across different skill levels (novice, trainee, expert) for three specific skills: stack, bands, and tower. We employ a 3-dimensional convolutional neural network (3DCNN) with a weakly-supervised approach to classify the experience levels of surgeons. …”
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mbX: An R Package for Streamlined Microbiome Analysis by Utsav Lamichhane, Jeferson Lourenco

“…It automates key post-sequencing steps, including taxonomic data cleaning and visualization, addressing the need for reproducible and user-friendly microbiome workflows. mbX’s core functions, ezclean and ezviz, take raw taxonomic output (such as those from QIIME 2) and sample metadata to produce a cleaned relative abundance dataset and high-quality stacked bar plots with minimal manual intervention. …”
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The capacity and training needs of primary health care workers in Nyeri and Nakuru counties of Kenya: a cross-sectional study by Josphat Martin Muchangi, Kioko Kithuki, Sarah Jebet Kosgei, Mary Mathenge, Deborah Kioko, Bryson Sifuma, Billian Sawenja, Samuel Kamau

“…Critical areas for intervention are HIV/AIDs & TB management and mental health training for both counties. …”
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Deep-Learning-Based Segmentation of Cells and Analysis (DL-SCAN) by Alok Bhattarai, Jan Meyer, Laura Petersilie, Syed I. Shah, Louis A. Neu, Christine R. Rose, Ghanim Ullah

“…Consequently, manual intervention may become a necessity, introducing variability in the analysis outcomes even for identical samples when analyzed by different users. …”
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Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model by Naila Aslam, Furqan Rustam, Ernesto Lee, Patrick Bernard Washington, Imran Ashraf

“…Cryptocurrency works similar to standard currency, however, virtual payments are made for goods and services without the intervention of any central authority. Although cryptocurrency ensures legitimate and unique transactions by utilizing cryptographic methods, this industry is still in its inception and serious concerns have been raised about its use. …”
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