The role of Artificial Intelligence in detecting breast lesions using ultrasound by Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Elżbieta Tokarczyk, Martyna Michalska, Adam Łabuda

“…Driven by advancements in machine learning (ML) and deep learning (DL), AI excels in analyzing complex datasets. However, its clinical adoption requires addressing key considerations with a nuanced approach. …”
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CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction by Xianfang Tang, Yawen Hou, Yajie Meng, Zhaojing Wang, Changcheng Lu, Juan Lv, Xinrong Hu, Junlin Xu, Jialiang Yang

“…Extensive cross-validation experiments on three standard datasets show that CDPMF-DDA achieves an average AUC of 0.9475 and an AUPR of 0.5009, outperforming existing models. …”
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“We need workable micronutrient data!”: a qualitative study assessing the need for integrated micronutrient data to support evidence-based decisions by Indian food system stakehold... by Rupinder Sahota, Jaswant S. Khokhar, Aakash Deep, Aakash Deep, Katherine P. Adams, Arindam Das, E. Louise Ander, E. Louise Ander, Edward J. M. Joy, Edward J. M. Joy

“…Current challenges include limited district-level data, outdated surveys, and data accessibility, while there is demand for customisable tools that integrate varied datasets, reflecting a shared vision for evidence-based decision-making and policy formulation.…”
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High expression of SULF1 is associated with adverse prognosis in breast cancer brain metastasis by Yitong Li, Tingting Feng, Qinghong Wang, Yue Wu, Jue Wang, Wenlong Zhang, Qi Kong

“…Methods Differential gene expression analysis (DEGs) for the datasets GSE43837 and GSE125989 from the GEO database was performed using online analysis tools such as GEO2R and Sangerbox. …”
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Identification of a Seven-lncRNA-mRNA Signature for Recurrence and Prognostic Prediction in Relapsed Acute Lymphoblastic Leukemia Based on WGCNA and LASSO Analyses by Haiyan Qi, Long Chi, Xiaogang Wang, Xing Jin, Wensong Wang, Jianping Lan

“…Weighted gene coexpression network analysis revealed that green, turquoise, yellow, and brown modules were preserved across the TARGET, GSE60926, GSE28460, and GSE17703 datasets, and they were associated with clinical relapse and death status. …”
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Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data by Mehwish Naseer, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, Abdullah Alomari

“…The Syn-detect model was tested on two Android malware datasets: CIC-AndMal2017 and CIC-AAGM2017. The model achieved an accuracy of 99.8% on CIC-AndMal2017 and 99.3% on CIC-AAGM2017. …”
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Development and validation of a novel AI-derived index for predicting COPD medical costs in clinical practice by Guan-Heng Liu, Chin-Ling Li, Chih-Yuan Yang, Shih-Feng Liu

“…Future research should focus on validation with multicenter datasets and the inclusion of additional socioeconomic variables to enhance model generalizability and precision.…”
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Bioinformatics combining machine learning and single-cell sequencing analysis to identify common mechanisms and biomarkers of rheumatoid arthritis and ischemic heart failure by Ziyi Sun, Jianguo Lin, Xiaoning Sun, Zhangjun Yun, Xiaoxiao Zhang, Siyu Xu, Jinlong Duan, Kuiwu Yao

“…This study analyzed RNA sequencing data from five RA and IHF datasets to identify common biological mechanisms and significant biomarkers. …”
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Genome-wide association studies with prolapsed gland of the third eyelid in dogs by Yu Zeng, Yu Zeng, Yu Zeng, Cundong Feng, Zheli Jiang, Zheli Jiang, Zheli Jiang, Weian Du, Shan He, Shan He, Shan He, Xingnuan Li, Xingnuan Li, Xingnuan Li, Yi Fan, Yi Fan, Yi Fan, Xiao Ouyang, Xiao Ouyang, Xiao Ouyang, Bixin Huang, Bixin Huang, Bixin Huang, Yan Su, Yan Su, Yan Su, Siyu Wang, Siyu Wang, Siyu Wang, Rongxing Wei, Zonghao Dai, Peng Jin, Jianyun Liu, Jianyun Liu, Jianyun Liu, Qianyong Yang, Qianyong Yang, Qianyong Yang

“…In this study, 170K SNP microarray data were collected from 653 brachycephalic dogs and 788 brachycephalic and mesocephalic dogs. These two datasets were analyzed separately in genome-wide association studies (GWAS) involving 12 dog breeds affected by cherry eye. …”
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Semantic-Injected Bidirectional Multiscale Flow Estimation Network for Infrared and Visible Image Registration by Chunna Tian, Liuwei Xu, Xiangyang Li, Heng Zhou, Xiqun Song

“…Extensive experiments demonstrate that our proposed method outperforms state-of-the-art registration networks on both the MSRS and RoadScene infrared and visible image registration datasets.…”
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Development of a respiratory virus risk model with environmental data based on interpretable machine learning methods by Shuting Shi, Haowen Lin, Leiming Jiang, Zhiqi Zeng, ChuiXu Lin, Pei Li, Yinghua Li, Zifeng Yang

“…However, these investigations have faced certain limitations, such as the use of modestly sized datasets, a restricted geographical focus, and an emphasis on a limited number of respiratory pathogens. …”
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A Brand-New Algorithm for Mapping Algal Biomass in Lakes by Zhengyang Yu, Ronghua Ma, Minqi Hu, Kun Xue, Zhigang Cao, Junfeng Xiong

“…The proposed algorithm outperforms the result-oriented and process-oriented methods in terms of accuracy in 3 lakes (the root mean square error [RMSE] values for datasets of Lake Hongze, Lake Taihu, and Lake Chaohu were 5.09, 8.21, and 3.90 mg/m2, respectively). …”
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Visualization of four-dimensional X-ray absorption fine structure data using a virtual reality system by Haruo Igarashi, Daiki Kido, Yutaka Ishii, Yasuhiro Niwa, Atsushi Okamoto, Masao Kimura

“…Our methodology establishes a new platform for analyzing 4D or 5D XAFS data that has applicability potential in various other multidimensional datasets, including microstructures coupled with spectroscopy and diffraction data.…”
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I-PAttnGAN: An Image-Assisted Point Cloud Generation Method Based on Attention Generative Adversarial Network by Wenwen Li, Yaxing Chen, Qianyue Fan, Meng Yang, Bin Guo, Zhiwen Yu

“…Extensive experiments are conducted on ShapeNet and nuScenes datasets. The results show that I-PAttnGAN significantly improves the performance of generating high-quality, dense point clouds in low-density regions compared with existing methods: the Chamfer distance value is reduced by about 2 times, the Earth Mover’s distance value is increased by 1.3 times, and the F1 value is increased by about 1.5 times. …”
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Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations by Michael Coughlan, Amy Keesee, Victor Pinto, Raman Mukundan, José Paulo Marchezi, Jeremiah Johnson, Hyunju Connor, Don Hampton

“…The models were also compared to a persistence model to ensure that the model using both datasets did not over‐rely on dB/dt values in making its predictions. …”
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PZS‐Net: Incorporating of Frame Sequence and Multi‐Scale Priors for Prostate Zonal Segmentation in Transrectal Ultrasound by Jianguo Ju, Qian Zhang, Pengfei Xu, Tiange Liu, Cheng Li, Ziyu Guan

“…Extensive experiments on TRUS image datasets show that the PZS‐Net achieves higher accuracy in both the transitional zone (dice coefficient [Dice]: 68.90% ± 1.73%, mean intersection over union [mIoU]: 59.19% ± 2.09%, 95% Hausdorff distance [HD95]: 5.02 ± 0.83 mm) and the peripheral zone (Dice: 63.99% ± 3.16%, mIoU: 54.60% ± 3.35%, HD95: 5.28 ± 1.12 mm) and demonstrates the effectiveness and competitiveness of its key components via comprehensive ablation studies.…”
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Multiscale Attention Feature Fusion Based on Improved Transformer for Hyperspectral Image and LiDAR Data Classification by Aili Wang, Guilong Lei, Shiyu Dai, Haibin Wu, Yuji Iwahori

“…The efficacy of the proposed approach is validated using three standard datasets (Huston2013, Trento, and MUUFL) in the experiments. …”
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Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data by Youssra Cheriguene, Wael Jaafar, Halim Yanikomeroglu, Chaker Abdelaziz Kerrache

“…Federated Learning (FL) is a decentralized machine learning (ML) technique that allows a number of participants to train an ML model collaboratively without having to share their private local datasets with others. When participants are unmanned aerial vehicles (UAVs), UAV-enabled FL would experience heterogeneity due to the majorly skewed (non-independent and identically distributed -IID) collected data. …”
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Assessing the Causal Effect of Circulating Protein‐To‐Protein Ratio on the Risk of Morbidity of Hepatocellular Carcinoma by Qiuyuan Yue, Xiaoxia Li, Xiaoye Wan, Xi Lin, Yueming Li, Mingwei Zhang, Shaohua Xu

“…Conclusion Using multiple datasets and methods, eight protein–protein pairs were identified as having causal associations with HCC. …”
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SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification by Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He

“…Experimental results yielded from selected PolSAR datasets convincingly indicate that our method exhibits superior performance compared to other existing methodologies. …”
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