Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach by Yu Wang, Mudassar Ali, Tariq Mahmood, Amjad Rehman, Tanzila Saba

“…However, segmenting and classifying breast masses in mammograms is challenging due to their similar shapes to the surrounding glands. Current target detection algorithms have limited applications and low accuracy. …”
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Therapeutic Plasma Exchange in the Management of Postpartum HELLP Syndrome: A Case Report by Parul Jaiswal, Prashant Suryarao, Dipak Kolate

“…Further research is needed to improve diagnostic algorithms and treatment plans due to overlapping clinical presentations.…”
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Real-Time Cloth Simulation in Extended Reality: Comparative Study Between Unity Cloth Model and Position-Based Dynamics Model with GPU by Taeheon Kim, Jun Ma, Min Hong

“…To overcome the limitations of traditional CPU-based physics simulations, we designed and optimized highly parallelized algorithms utilizing Unity’s Compute Shader framework. …”
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Host-symbiont-gene phylogenetic reconciliation by Menet, Hugo, Trung, Alexia Nguyen, Daubin, Vincent, Tannier, Eric

“…Given three phylogenetic trees, we devise a Monte Carlo algorithm which samples evolutionary scenarios of symbionts and genes according to an approximation of their likelihood in the model. …”
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Clinical manifestations of familial exudative vitreoretinopathy in children with nucleotide sequence alterations in the FZD4 gene by L. A. Katargina, V. V. Kadyshev, E. V. Denisova, E. A. Geraskina, A. V. Marakhonov, S. A. Garifullina, I. V. Zolnikova, R. A. Zinchenko

“…Nucleotide sequence alterations in the FZD4 gene were detected in 3 patients(16.7 %)from two unrelated families. …”
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Automated Cough Analysis with Convolutional Recurrent Neural Network by Yiping Wang, Mustafaa Wahab, Tianqi Hong, Kyle Molinari, Gail M. Gauvreau, Ruth P. Cusack, Zhen Gao, Imran Satia, Qiyin Fang

“…These findings provide insights into the strengths and limitations of various algorithms, highlighting the potential of CRNNs in analyzing complex cough patterns. …”
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Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma by Gang Wang, Jiaxing Zhang, Yirong Li, Yuyu Zhang, Weiwei Dong, Hengquan Wu, Jinglan Wang, Peiqing Liao, Ziqiang Yuan, Tao Liu, Wenting He

“…Three machine-learning algorithms were used to identify shared diagnostic genes. …”
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Strategy of Surgical Treatment of Patients with Pigment Dispersion Syndrome and Myopia by S. N. Sakhnov, O. A. Klokova, P. A. Karagodina, T. I. Arlanova, A. A. Leonova

“…During biomicroscopy, a Krukenberg spindle was observed in 34 eyes (77.2 %), exogenous pigment was detected in 20 eyes (45.4 %) on the iris and lens, and sectoral illumination of the iris was detected in 5 (11.4 %). …”
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Surface saline lakes in the Mediterranean Sea by E. Terzić, C. Gardiol, I. Vilibić, I. Vilibić

“…We developed an objective algorithm to detect SSLs within profiles, defining a SSL according to a threshold-exceeding salinity gradient at its base. …”
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Global change drives potential niche contraction and range shift of globally threatened African vulture by Gemechis B. Mosisa, Nega Tassie, Fatuma Yesuf

“…This study employed the Maximum Entropy (MaxEnt) algorithm to perform species distribution modeling for the Ruppell's vulture. …”
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Identification of microsatellite loci according to BAC sequencing data and their physical mapping to the bread wheat 5B chromosome by M. A. Nesterov, D. A. Afonnikov, E. M. Sergeeva, L. A. Miroshnichenko, M. K. Bragina, A. O. Bragin, G. V. Vasiliev, E. A. Salina

“…The assembly characteristics (N50 = 4 136 bp) are comparable to the recently obtained data for wheat and relative species and acceptable for identification of microsatellite loci. An algorithm utilizing the properties of complexity decompositions in  he sliding-window mode was used to detect DNA sequences with a repeat unit of 2–4 bp. …”
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Stellar Variability toward the Galactic Open Cluster NGC 7209 by Dorothy M. Mwanzia, Sneh Lata, W. P. Chen, Soumen Mondal, Geoffrey Okeng’o, John Buers, Samrat Ghosh, Athul Dileep, Arjav Jain, Alisher S. Hojaev, Santosh Joshi

“…Out of 4499 stars in our study, we detected 284 candidate variables, including one identified previously. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…This allows for more accurate and timely diagnoses, as AI algorithms can detect subtle patterns and anomalies that may not be visible to human observers. …”
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Diet Engine: A real-time food nutrition assistant system for personalized dietary guidance by Asim Moin Saad, Md. Raihanul Haque Rahi, Md. Manirul Islam, Gulam Rabbani

“…Our system outperforms existing algorithms, achieving an 86 % classification accuracy on food datasets. …”
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Monitoring multiyear cropping patterns in the arid regions of northwestern China from 2005 to 2022 using Landsat time-series data by Yongquan Lu, Guilin Liu, Xiuyuan Zhang, Jingwen Wang, Weijia Chen, Yuecheng Li, Desheng Jiang

“…Here, we propose a new method (CCDC-LT), which couples two change detection algorithms, i.e. CCDC and LandTrendr, for time-series Landsat images and finally mapped the results to the parcel and plot scales to generate multiyear planting patterns. …”
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VMDU-net: a dual encoder multi-scale fusion network for polyp segmentation with Vision Mamba and Cross-Shape Transformer integration by Peng Li, Jianhua Ding, Chia S. Lim

“…IntroductionRectal cancer often originates from polyps. Early detection and timely removal of polyps are crucial for preventing colorectal cancer and inhibiting its progression to malignancy. …”
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Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals’ perspectives in the UK by Saoudi CE Nouis, Victoria Uren, Srushti Jariwala

“…These challenges become especially critical in domains such as pathology and blood sciences, where opaque AI algorithms and non-representative datasets can impact clinical outcomes. …”
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Analysis and Identification of Factors Influencing the Survival of Burn Injury Patients with an Artificial Intelligence Approach by Sara Hashemi, Shahla Faramarzi, Laya Rahmani Pirouz, Azita Yazdani

“…Conclusion: The use of machine learning algorithms in predicting the survival of burn patients is promising. …”
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Identifying opioid agonist treatment prescriber networks from health administrative data: A validation study. by Megan Kurz, Mark Tatangelo, Kristen A Morin, Michelle Zanette, Emanuel Krebs, David C Marsh, Bohdan Nosyk

“…The three different detection algorithms had wide variation in concordance, with ranges on sensitivity from 0.02 to 0.88 and PPV from 0.06 to 0.97. …”
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Wide-Field High-Speed Scanning Acoustic/Photoacoustic Microscopy for Whole-Body Imaging of Small Animals by Joongho Ahn, Hyoseok Choi, Seongjun Lim, Jin Young Kim, Jeongwoo Park

“…Photoacoustic (PA) imaging combines optical contrast with ultrasound (US) detection, enabling high-resolution imaging of biological tissues with greater penetration depth than conventional optical techniques. …”
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