Le Lu
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Articles by Le Lu
The deep learning framework Hist2Prot infers single-cell spatial proteomics from histology to predict biomarkers and clinical outcomes
Abstract Spatial proteomics enables high-resolution mapping of protein expression within the tumor microenvironment, but its routine clinical application remains limited by cost, technical complexity and restricted tissue coverage. Here we present Hist2Prot, a deep learning framework that generates single-cell spatial proteomic profiles from routine hematoxylin and eosin histology.
Multimodal radiopathomics model predicts postoperative metachronous liver metastasis in gastric cancer
Abstract In locally advanced gastric cancer, a substantial number of patients relapse with liver metastasis months after an apparently curative operation, and standard tumor staging offers little warning of who is at risk.
Spatial allocation of electric vehicle charging capacity to facilitate disaster evacuation
ABSTRACT Limited public charging infrastructure for electric vehicles (EVs) could prove problematic for disaster evacuations. We formulate a two-stage stochastic program that optimally allocates a budget to install EV charging stations at locations in a road network to maximize expected evacuation performance, subject to uncertain disaster impacts on roads and chargers. Charging investments are made in stage one and an energy-limited traffic routing problem is solved in stage two.
In Situ SiC Nanowire Bridging Enables Structural Reconstruction of Macropore Defects in CMC
Le Lu and Zhiyuan Ma contributed equally to this work and should be considered co-first authors. Conflicts of Interest All authors certify that they have no affiliations with or involvement in any organization or entity with any financial or non-financial interest in the subject matter or materials discussed in this manuscript. Data Availability Statement Research data supporting this publication are available from the corresponding author upon reasonable request.
A unified vision-language model for precision oncology and biomarker prediction in neuroblastoma
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Abstract Neuroblastoma is a leading cause of childhood cancer mortality, presenting persistent management challenges due to its biological heterogeneity and the limited accessibility of molecular profiling in routine practice. Here we present NEVA (NEuroblastoma Vision–language AI), a multimodal foundation model designed to address these barriers.
By Jin Zhu, Ruizhen Hu, Qing Sun, Zhenzhen Zhao, Juan Carlos Cao, Kun Wang, Liyan Cui, Hongping Tang, Qianqian Fang, Sijin Jiang, Wenjian Zhang, Jiajun Xie, Shuo Kang, Dongyuan Xiao, Ming Xiao, Xuan Zhai, Yuntao Jia, Junyang Chen, Wei Yuan, Xiao Han, Le Lu, Junhan Zhao, Xiyue Wang, Yi Li, Jinxi Xiang, Biyue Zhu, Peiying Pan
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Nature
Verified
Multi-modal AI for opportunistic screening, staging and progression risk stratification of steatotic liver disease
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Abstract The global rise in steatotic liver disease poses a significant public health challenge. While non-contrast computed tomography scans hold promise for opportunistic detection of steatotic liver disease, their potential for staging and risk assessment remains underexplored.
By Yuan Gao Verified, Wanxing Chang, Bai Du, Xianghua Ye, Yingda Xia, Heng Guo, Xiaoming Zhang, Wei Liu, Ruobing Bai, Beibei Li, Jiawen Yao, Le Lu, Kai Cao, Ke Yan, Jun Chen, Jie Li, Yang Hou, Ling Zhang, Yu Shi
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Nature
Verified
Gelcasting for the densification repair of delamination defects in SiCf/SiC composites
CONFLICT OF INTEREST STATEMENT The authors declare no conflict of interest. REFERENCES 1, . Ceramic matrix composites for aero engine applications—a review. Appl Sci. 2023; 13: 3017. 2. Advanced structural ceramics in aerospace propulsion. Nat Mater. 2016; 15: 804–809. 3, . Thermal protection systems for space vehicles: a review on technology development, current challenges and future prospects. Acta Astronaut. 2020; 176: 341–356. 4, . A review of design issues specific to hypersonic flight vehicles.
APOE and CCR2 : Potential Macrophage-Specific Biomarkers in the Rheumatoid Arthritis Synovial Microenvironment Identified by Bioinformatics and Experimental Verification in Murine Models
Back to Journals » Journal of Inflammation Research » Volume 19 Original Research Autoimmunity and Inflammation Authors Wang D, Lu L, Zhang Y, Shang W Received 17 December 2025 Accepted for publication 5 March 2026 Published 25 March 2026 Volume 2026:19 Pages 1—18 DOI https://doi.org/10.2147/JIR.S587712 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication: Dr Shouya Feng Dongyi Wang,1,2 Le Lu,1 Yuping Zhang,1 Wei Shang1...
AI-based diagnosis of acute aortic syndrome from noncontrast CT - Nature Medicine
Abstract The accurate and timely diagnosis of acute aortic syndrome (AAS) in patients presenting with acute chest pain remains a clinical challenge. Aortic computed tomography (CT) angiography is the imaging protocol of choice in patients with suspected AAS. However, due to economic and workflow constraints in China, the majority of suspected patients initially undergo noncontrast CT as the initial imaging testing, and CT angiography is reserved for those at higher risk.
Work engagement and occupational future time perspective among Chinese new nurses: the mediating role of career adaptability
1 Introduction In recent years, the nursing profession has experienced substantial changes, especially in China, where the healthcare system confronts increasing demands from an aging population and a rise in chronic diseases. Currently, a global shortage of nurses is intensifying, with the situation in China worsening significantly (Drennan and Ross, 2019).
Synthesis of Fe3O4@Au Core-Shell Nanoparticles with Varying Thicknesses for Application in Computed Tomography Imaging
1 Introduction Computed tomography (CT) has become an essential diagnostic imaging tool in modern medicines, thanks to its noninvasive imaging technique. CT can produce high-resolution images and rapid scan times, providing accurate anatomical information in the diagnosis and monitoring of various diseases.[1, 2] The operating principle of CT is based on the differences in X-ray attenuation of multiple tissues.
Establishment and verification of a prognostic model based on coagulation and fibrinolysis-related genes in hepatocellular carcinoma
Background: Studies have shown that coagulation and fibrinolysis (CFR) are correlated with Hepatocellular carcinoma (HCC) progression and prognosis. We aim to build a model based on CFR-correlated genes for risk assessment and prediction of HCC patient. Methods: HCC samples were selected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases respectively. The Molecular Signatures Database (MSigDB) was used to select the CFR genes.
Large-scale pancreatic cancer detection via non-contrast CT and deep learning - Nature Medicine
Abstract Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected late and at an inoperable stage. Early or incidental detection is associated with prolonged survival, but screening asymptomatic individuals for PDAC using a single test remains unfeasible due to the low prevalence and potential harms of false positives.
Temperature Resistance Properties of Unidirectional Laminated Cf/SiC-Al Prepared by PIP and Vacuum Pressure Infiltration
Open AccessArticle by Tianru Guan , Le Lu , Zhaofeng Chen * and Lixia Yang * International Laboratory for Insulation and Energy Efficiency Materials, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China * Authors to whom correspondence should be addressed.
Differentiating malignant and benign pleural effusion in patients with lung cancer: an 18F-FDG PET/CT retrospectively study
1 Introduction Lung cancer is the leading cause of cancer deaths, accounting for 21% of the estimated cancer deaths in the United States in 2022 (1). Pleural effusion (PE) is common in patients with lung cancer. Many of these effusions are malignant, which signify an advanced stage of lung cancer (2); however, some are benign PEs that do not preclude potentially curative surgery. Although pleural invasion adversely affects survival, it is not used extensively during lung cancer staging (3).
Prognostic value of computed tomography radiomics features in patients with gastric neuroendocrine neoplasm
Introduction Gastric neuroendocrine neoplasms (GNEN) are a group of rare and heterogeneous neoplasms originating from gastric neuroendocrine cells, with the fifth highest rate in the entire digestive tract (7.2%) (1). In the past 40 years, with the improvement of the understanding of GNEN and the progress of pathological diagnosis technology, the diagnostic rate and incidence of GNEN have been increasing year by year.
Synthesis of Cyclopenta[c]quinolines by Palladium-Catalyzed Cyclization of 3-Bromoindoles with Internal Alkynes via Spirocyclic Cyclopentadiene Intermediates
A novel method for the construction of a cyclopenta[c]quinoline ring via cyclization of 3-bromoindoles with internal alkynes in the presence of palladium is described.
A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs
Abstract Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in trauma patients, which is also the key component for trauma survey.
Two-way Desorption Coupling to Enhance Syngas to Aromatics by MnO/H-ZSM-5
Two-way Desorption Coupling to Enhance Syngas to Aromatics by MnO/H-ZSM-5 Aromatics are one of the most important bulk chemicals used in modern industries, rapid economic development and environmental issues that originate from the use of fossil fuels force us to search for clean and sustainable ways to produce fuels and chemicals from high carbon and renewable resources like syngas.
Computer Science > Computer Vision and Pattern Recognition
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