Feasibility of an indocyanine green-hyaluronic acid mixture (LuminoMark™) for targeting suspicious axillary lymph nodes in patients with breast cancer by Jeeyeon Lee, Byeongju Kang, Jin Hyang Jung, Hye Jung Kim, Won Hwa Kim, Jung Dug Yang, Joon Seok Lee, Yee Soo Chae, Soo Jung Lee, In Hee Lee, Ji-Young Park, Nora Jee-Young Park, Ho Yong Park

“…Conclusion Although both methods demonstrated high detection rates, the rate was higher using LuminoMark™. …”
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Lightweight dynamic model for fusion of three-dimensional surface-stratum underground structures. by Cuiying Zhou, Yusen Zhong, Ziyu Tao, Chunhui Lan, Wei Hu, Zhen Liu

“…In addition, an attribute fusion method of 3D surface-stratum-underground structure model is introduced by using variable storage method. …”
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Trends in research on relationship between root exudates and soil phosphorus: a bibliometric analysis by Yijie Ding, Yijie Ding, Jiabao Yao, Fengqing Li, Shiyou Chen, Shiyou Chen, Hui Wang, Hui Wang, Lingyu Hou, Lingyu Hou, Lei Liu, Lei Liu, Qiwu Sun, Qiwu Sun

“…Root exudates play a significant role in enhancing soil phosphorus availability.MethodsBased on bibliometric methods, this study conducted a quantitative analysis of 276 relevant articles from the Web of Science database between 2001 and 2024 using visualization tools such as CiteSpace and VOSviewer. …”
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Transformer and Attention-Based Architectures for Segmentation of Coronary Arterial Walls in Intravascular Ultrasound: A Narrative Review by Vandana Kumari, Alok Katiyar, Mrinalini Bhagawati, Mahesh Maindarkar, Siddharth Gupta, Sudip Paul, Tisha Chhabra, Alberto Boi, Ekta Tiwari, Vijay Rathore, Inder M. Singh, Mustafa Al-Maini, Vinod Anand, Luca Saba, Jasjit S. Suri

“…Intravascular ultrasound (IVUS) is a sophisticated imaging technique that provides detailed visualization of coronary arteries. However, the methods for segmenting walls in the IVUS scan into internal wall structures and quantifying plaque are still evolving. …”
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Unlocking liver physiology: comprehensive pathway maps for mechanistic understanding by Luiz Ladeira, Anouk Verhoeven, Jonas van Ertvelde, Jian Jiang, Alessio Gamba, Julen Sanz-Serrano, Tamara Vanhaecke, Harm J. Heusinkveld, Ramiro Jover, Mathieu Vinken, Liesbet Geris, Liesbet Geris, Liesbet Geris, Bernard Staumont

“…AimsIn silico methods provide a resourceful toolbox for new approach methodologies (NAMs). …”
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Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

“…The global spread of SARS-CoV-2 has prompted a crucial need for accurate medical diagnosis, particularly in the respiratory system. Current diagnostic methods heavily rely on imaging techniques like CT scans and X-rays, but identifying SARS-CoV-2 in these images proves to be challenging and time-consuming. …”
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Factors promoting development of renal tubulointerstitial lesions in patients with diabetes mellitus by Minara Shamkhalovna Shamkhalova, Kseniya Olegovna Kurumova, Inna Igorevna Klefortova, Ivan Ivanovich Sitkin, Alexander Viktorovich Il'in, Margarita Ivanovna Arbuzova, Nikolay Petrovich Goncharov, Gul'nara Viktorovna Katsiya, Andrey Alexeevich Aleksandrov, Svetlana Semenovna Kukharenko, Marina Vladimirovna Shestakova, Ivan Ivanovich Dedov

“…To identify profibrogenic mediators, markers of endothelial dysfunction and hemostasis in patients with diabetes mellitus (DM) and chronickidney disease (CKD). Materials and methods. The study included 120 patients with DM and 20 age-matched normotensive subjects without DM showing the glomerularfiltration rate (GFR) > 60 ml/min/1.73 m3. …”
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Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study by Seo Hyun Oh, Youngho Lee, Jeong-Heum Baek, Woongsang Sunwoo

“… BackgroundRecent advances in artificial intelligence (AI) have contributed to improved predictive modeling in health care, particularly in oncology. Traditional methods often rely on structured tabular data, but these approaches can struggle to capture complex interactions among clinical variables. …”
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Computer Vision Aided Beamforming Fused With Limited Feedback by T. Xiang, J. Gu, Y. Wang, Y. Gao, X. Zhang

“…Then a fusion method of visual detection and wireless sounding is developed to further improve spectral efficiency. …”
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New imaging technologies for robotic kidney cancer surgery by Stefano Puliatti, Ahmed Eissa, Enrico Checcucci, Pietro Piazza, Marco Amato, Stefania Ferretti, Simone Scarcella, Juan Gomez Rivas, Mark Taratkin, Josè Marenco, Ines Belenchon Rivero, Karl-Friedrich Kowalewski, Giovanni Cacciamani, Ahmed El-Sherbiny, Ahmed Zoeir, Abdelhamid M. El-Bahnasy, Ruben De Groote, Alexandre Mottrie, Salvatore Micali

“…However, RAPN is a challenging procedure with a steep learning curve. Methods: In this narrative review, different imaging technologies used to guide and aid RAPN are discussed. …”
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scMINER: a mutual information-based framework for clustering and hidden driver inference from single-cell transcriptomics data by Qingfei Pan, Liang Ding, Siarhei Hladyshau, Xiangyu Yao, Jiayu Zhou, Lei Yan, Yogesh Dhungana, Hao Shi, Chenxi Qian, Xinran Dong, Chad Burdyshaw, Joao Pedro Veloso, Alireza Khatamian, Zhen Xie, Isabel Risch, Xu Yang, Jiyuan Yang, Xin Huang, Jason Fang, Anuj Jain, Arihant Jain, Michael Rusch, Michael Brewer, Junmin Peng, Koon-Kiu Yan, Hongbo Chi, Jiyang Yu

“…In addition, we establish scMINER Portal, an interactive visualization tool to facilitate exploration of scMINER results.…”
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Molecularly Imprinted Ratiometric Fluorescent Sensors for Analysis of Pharmaceuticals and Biomarkers by Jingyi Yan, Siwu Liu, Dani Sun, Siyuan Peng, Yongfei Ming, Abbas Ostovan, Zhihua Song, Jinmao You, Jinhua Li, Huaying Fan

“…Currently, analyzing pharmaceuticals and biomarkers is crucial for ensuring medication safety and protecting life and health, and there is an urgent need to develop new and efficient analytical techniques in view of the limitations of traditional analytical methods. Molecularly imprinted ratiometric fluorescent (MI-RFL) sensors have received increasing attention in the field of analytical detection due to their high selectivity, sensitivity and anti-interference ability, short response time, and visualization. …”
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A high-performance fluorescent sensor spatiotemporally reveals cell-type specific regulation of intracellular adenosine in vivo by Qingpeng Wei, Zexiao Bai, Lei Wang, Jing Wang, Yipan Wang, Yufei Hu, Shiyi Ding, Zhixiong Ma, Chun Li, Yumo Li, Yizhou Zhuo, Wenzhe Li, Fei Deng, Bingjie Liu, Pengcheng Zhou, Yulong Li, Zhaofa Wu, Jing Wang

“…HypnoS enables real-time visualization of iAdo dynamics in live cultures, acute brain slices, flies, and freely moving mice. …”
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RESULTS OF EARLY-STAGE BREAST CANCER PATIENTS’ TREATMENT USING ACCELERATED PARTIAL BREAST IRRADIATION TECHNIQUE AFTER BREAST-CONSERVING SURGERY. EXPERIENCE OF N.N. BLOKHIN NATIONAL... by O. P. Trofimova, N. V. Volkova, A. V. Nazarenko, I. V. Kolyadina, V. A. Haylenko, S. I. Tkachev, J. I. Pryamikova, E. V. Timoshkina, O. S. Zaychenko, V. A. Boldyreva, I. K. Vorotnikov, S. B. Alieva, T. N. Borisova, V. V. Glebovskaya, S. M. Ivanov

“…Objective: to analyze the results of early-stage breast cancer patients’ treatment using accelerated partial breast irradiation technique after breast-conserving surgery.Materials and methods. The study enrolled 100 patients with histologically proven breast cancer pT1–2N0–micM0 who were treated in N.N. …”
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Improved visibility of palisade vessels within Barrett’s esophagus using red dichromatic imaging: a retrospective cross-sectional study in Japan by Chise Ueda, Shinwa Tanaka, Tetsuya Yoshizaki, Hirofumi Abe, Masato Kinoshita, Hiroya Sakaguchi, Hiroshi Takayama, Hitomi Hori, Ryosuke Ishida, Shinya Houki, Hiroshi Tanabe, Eri Nishikawa, Madoka Takao, Toshitatsu Takao, Yoshinori Morita, Takashi Toyonaga, Yuzo Kodama

“…Background/Aims Visualization of palisade vessels (PVs) in Barrett’s esophagus is crucial for proper assessment. …”
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Radiological score, asthma and NSAID‐exacerbated respiratory disease predict relapsing chronic rhinosinusitis by Markus Lilja, Anni Koskinen, Sari Hammarèn‐Malmi, Anu Laulajainen‐Hongisto, Jura Numminen, Jyri Myller, Seija Vento, Elina Penttila, Maija Hytönen, Paula Virkkula, Peter W. Hellings, Sven F. Seys, John Lee, Heini Huhtala, Johanna Sahlman, Sanna Toppila‐Salmi

“…The SR score was defined by obstructed frontal recess (0 = no, 1 = yes) and visualization of middle and inferior turbinate (0 = anatomy can be easily visualized, 1 = anatomy cannot be easily visualized) on each side (a total of 0–6 points). …”
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SIFusion: Lightweight infrared and visible image fusion based on semantic injection. by Song Qian, Liwei Yang, Yan Xue, Ping Li

“…Extensive experimental comparisons demonstrate that the proposed method performs excellently in terms of visual appeal and advanced semantics, providing satisfactory fusion results for subsequent high-level visual tasks even in challenging scenarios.…”
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Research hotspots and trends of sarcopenia in orthopaedic surgery: a bibliometric analysis from 2003 to 2023 by Ruijiang Li, Ruijiang Li, Yufeng Ge, Yufeng Ge, Yixiao Chen, Yixiao Chen, Gang Liu, Gang Liu, Feng Gao, Feng Gao, Chao Tu, Chao Tu, Ting Li, Ting Li, Ling Wang, Minghui Yang, Minghui Yang, Xinbao Wu, Xinbao Wu

“…PurposeThis study aimed to evaluate the current bibliometric characteristics, progress, and hotspots of cross-sectional research on orthopaedic surgery and sarcopenia over the past two decades.MethodsPublications related to sarcopenia and orthopaedic surgery, published between January 2003 and December 2023, were screened the Web of Science Core Collection. …”
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Traditional Chinese medicine diagnostic prediction model for holistic syndrome differentiation based on deep learning by Zhe Chen, Dong Zhang, Chunxiang Liu, Hui Wang, Xinyao Jin, Fengwen Yang, Junhua Zhang

“…Background: With the development of traditional Chinese medicine (TCM) syndrome knowledge accumulation and artificial intelligence (AI), this study proposes a holistic TCM syndrome differentiation model for the classification prediction of multiple TCM syndromes based on deep learning and accelerates the construction of modern foundational TCM equipment. Methods: We searched publicly available TCM guidelines and textbooks for expert knowledge and validated these sources using ten-fold cross-validation. …”
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Rapid Detection of Feline Calicivirus Using Lateral Flow Dipsticks Based on CRISPR/Cas13a System by Zichuang Zhang, Jing Li, Chengqi Zhang, Xue Bai, Tie Zhang

“…Eventually, the results indicated that the target gene could be effectively amplified by the Cas13a-RAA-LFD method, and the results could be visually observed by LFD. …”
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