Development and validation of trigger tools in primary care: A scoping review. by Inge Dhamanti, Elida Zairina, Ida Nurhaida, Salsabila Salsabila, Fitri Yakub

“…The sensitivity, specificity, and positive predictive value (PPV) of the final algorithm were critical in determining the validity of each trigger. …”
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Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach by Lukas Zbinden, Samuel Erb, Damiano Catucci, Lars Doorenbos, Leona Hulbert, Annalisa Berzigotti, Michael Brönimann, Lukas Ebner, Andreas Christe, Verena Carola Obmann, Raphael Sznitman, Adrian Thomas Huber

“…Conclusion Automated quantification of liver mpMRI is highly effective across different patient populations, offering excellent reliability for total and segmental T1 and T2 maps. …”
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Unveiling the cell-type-specific landscape of cellular senescence through single-cell transcriptomics using SenePy by Mark A. Sanborn, Xinge Wang, Shang Gao, Yang Dai, Jalees Rehman

“…It is challenging to identify senescent cells because cellular senescence signatures and phenotypes vary widely across distinct cell types and tissues. Here we developed an analytical algorithm that defines cell-type-specific and universal signatures of cellular senescence across a wide range of cell types and tissues. …”
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A High-Resolution Gridded Dataset for China’s Monthly Sectoral Water Use by Yuqian Zhang, Yunhe Yin, Mijia Yin, Xufang Zhang

“…This algorithm disaggregates provincial annual water use data to monthly grid cells at a 0.1° × 0.1° resolution, enhancing the spatial detail and seasonal distribution of water use across China. …”
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Deep observations of the Type IIB flux landscape by A. Chauhan, M. Cicoli, S. Krippendorf, A. Maharana, P. Piantadosi, A. Schachner

“…Our algorithm is universally applicable across Calabi-Yau orientifold compactifications and can be used to enumerate flux vacua in a region given sufficient computational efforts. …”
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A visual-assisted relocalization add-on for autonomous robots by Yao Cheng, Fengyang Jiang, Zhe Han, Huaizhen Wang, Fengyu Zhou

“…Extensive experiments across diverse environments confirm the performance superiority of the proposed strategy, demonstrating its practical value for real-world applications.…”
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Lightweight UAV Detection Method Based on IASL-YOLO by Huaiyu Yang, Bo Liang, Song Feng, Ji Jiang, Ao Fang, Chunyun Li

“…Finally, we employ the LAMP pruning algorithm to compress the model. Experimental results on the Anti-UAV dataset show that the improved model achieves a 2.9% increase in Precision, a 6.8% increase in Recall, and 3.9% and 3.8% improvements in mAP50 and mAP50-95, respectively. …”
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Explainable AI for Spectral Analysis of Electromagnetic Fields by Dimitris Kalatzis, Agapi Ploussi, Ellas Spyratou, Theodor Panagiotakopoulos, Efstathios P. Efstathopoulos, Yiannis Kiouvrekis

“…A comparative evaluation of six machine learning algorithms was conducted: XGBoost, LightGBM, Random Forests, k-Nearest Neighbors, Neural Networks and Decision Trees to assess prediction performance across each frequency band. …”
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BREATHE: A GeoAI-Powered Air Quality Monitoring and Forecasting System for Urban Sustainability by S. D. Adduri, T. Ali

“…BREATHE system features four essential aspects that include (1) real-time AQI checks at 12 locations across the UAE territory (2) predictive models for AQI forecasting through climatic and historical data analyses (3) interactive dashboards with mapping visuals and alert features and (4) AI-powered chatbot assistance along with non-specialist user-friendly accessibility. …”
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Three-Dimensional Unmanned Aerial Vehicle Path Planning in Simulated Rugged Mountainous Terrain Using Improved Enhanced Snake Optimizer (IESO) by Wuke Li, Kongwen Zhang, Qi Xiong, Xiaoxiao Chen

“…Comparative simulation experiments benchmarked IESO against five state-of-the-art biologically inspired optimization algorithms across test functions and path-planning simulated scenarios. …”
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Spatial Estimation of Trophic State for Reservoir Using Ground Monitoring and Remote Sensing Data by Thong Nguyen Hoang, Van Tran Thi

“…In contrast, the Chl-a parameter correlated best with the NIR/RED algorithm. From there, we mapped the spatial distribution of parameters and trophic state according to TSI in the entire Dau Tieng Reservoir based on the spectral values from remote sensing algorithms and regression models. …”
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Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations by Jie Yang, Fanyan Ou, Binbin Li, Lixiong Zeng, Qiuli Chen, Houyu Gan, Jianing Yu, Qian Guo, Jihua Feng, Jianfeng Zhang

“…This study, through the integrated application of computational biology and machine learning algorithms, discovered biomarkers of PCD patterns that affect cytokine storm-mediated inflammation and immunosuppressive effects in sepsis populations across different age groups (neonates, children, and adults). …”
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AI generations: from AI 1.0 to AI 4.0 by Jiahao Wu, Hengxu You, Jing Du

“…This paper traces the historical foundations of AI across roughly 70 years, mapping how changes in technological bottlenecks from algorithmic innovation to high-performance computing to specialized data have stimulated each generational leap. …”
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Coal-rock interface real-time recognition based on the improved YOLO detection and bilateral segmentation network by Shuzhan Xu, Wanming Jiang, Quansheng Liu, Hongsheng Wang, Jun Zhang, Jinlong Li, Xing Huang, Yin Bo

“…The comparison with three other models demonstrates the superior edge inference performance of the proposed model, achieving a mean Average Precision (mAP) of 90.2 at the Intersection over Union (IoU) threshold of 0.50 (mAP50) and 81.4 across a range of IoU thresholds from 0.50 to 0.95 (mAP[50,95]). …”
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Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring by XingTao Ren, XingTao Ren, Yan Ma, YiXin Zhou, YiXin Zhou

“…Moreover, it also establishes a dynamic RS label category system that is capable of dynamically expanding distinct categories from new sample datasets through label semantic similarity mapping to resolve label inconsistencies across sample datasets. …”
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Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study by Yuqi Yan, Yuanzhen Liu, Yao Wang, Tian Jiang, Jiayu Xie, Yahan Zhou, Xin Liu, Meiying Yan, Qiuqing Zheng, Haifei Xu, Jinxiao Chen, Lin Sui, Chen Chen, RongRong Ru, Kai Wang, Anli Zhao, Shiyan Li, Ying Zhu, Yang Zhang, Vicky Yang Wang, Dong Xu

“…A comparative analysis was conducted between the algorithm’s diagnostic capabilities and those of radiologists with varying clinical experience within an external validation cohort. …”
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Breakage fusion bridge cycles drive high oncogene number with moderate intratumoural heterogeneity by Siavash Raeisi Dehkordi, Ivy Tsz-Lo Wong, Jing Ni, Jens Luebeck, Kaiyuan Zhu, Gino Prasad, Lena Krockenberger, Guanghui Xu, Biswanath Chowdhury, Utkrisht Rajkumar, Ann Caplin, Daniel Muliaditan, Aditi Gnanasekar, Ceyda Coruh, Qiushi Jin, Kristen Turner, Shu Xian Teo, Andy Wing Chun Pang, Ludmil B. Alexandrov, Christelle En Lin Chua, Frank B. Furnari, John Maciejowski, Thomas G. Paulson, Julie A. Law, Howard Y. Chang, Feng Yue, Ramanuj DasGupta, Jean Zhao, Paul S. Mischel, Vineet Bafna

“…Both breakage fusion bridge (BFB) cycles and extrachromosomal DNA (ecDNA) can lead to high oncogene copy numbers, but the impact of BFB amplifications on intratumoral heterogeneity, treatment response, and patient survival remains poorly understood due to detection challenges with DNA sequencing. We introduce an algorithm, OM2BFB, designed to detect and reconstruct BFB amplifications using optical genome mapping (OGM). …”
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Clustering and visualisation of the GABRIEL network expertise in the field of infectious diseases by Philippe Vanhems, Shally Awasthi, Firdausi Qadri, Sayera Banu, Francine Ntoumi, Graciela Russomando, Jianwei Wang, Zakir Hossain, Bourema Kouriba, Sara Eyangoh, Chan Leakhena Phoeung, Cécile Chauvel, Marie-Charlotte Quemin, Marianne Abifadel, Silvia Figueiredo Costa, Monzer Hamze, Daniel Mukadi-Bamuleka, Abdoul-Salam Ouedraogo, Phimpha Paboriboune, Jean William Pape, Ana Tereza Ribeiro Vasconcelos, Luc Samison, Marilda Agudo Mendonça Siqueira, Nestani Tukvadze, Florence Komurian Pradel

“…Introduction The Global Approach to Biology Research, Infectious diseases and Epidemics in Low-income countries (GABRIEL) network is an international scientific network of 21 centres coordinated by the Merieux Foundation (Lyon, France). Mapping and characterising the similarities and differences in expertise and activities across four major infectious diseases (tuberculosis, antimicrobial-resistant infections, acute respiratory infections and emerging pathogens) among these centres would help to provide a better understanding of the network’s capacity. …”
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AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks by Mayalen Etcheverry, Clément Moulin-Frier, Pierre-Yves Oudeyer, Michael Levin

“…Many applications in biomedicine and synthetic bioengineering rely on understanding, mapping, predicting, and controlling the complex behavior of chemical and genetic networks. …”
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Phenology-Based Maize and Soybean Yield Potential Prediction Using Machine Learning and Sentinel-2 Imagery Time-Series by Dorijan Radočaj, Ivan Plaščak, Mladen Jurišić

“…Across all evaluations, RF was found to outperform the other models in both cross-validation and final model accuracy metrics. …”
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