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  1. Article ; Online: Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis.

    Xing, Xiaohan / Chen, Zhen / Hou, Yuenan / Yuan, Yixuan

    Medical image analysis

    2023  Volume 88, Page(s) 102874

    Abstract: The fusion of multi-modal data, e.g., medical images and genomic profiles, can provide complementary information and further benefit disease diagnosis. However, multi-modal disease diagnosis confronts two challenges: (1) how to produce discriminative ... ...

    Abstract The fusion of multi-modal data, e.g., medical images and genomic profiles, can provide complementary information and further benefit disease diagnosis. However, multi-modal disease diagnosis confronts two challenges: (1) how to produce discriminative multi-modal representations by exploiting complementary information while avoiding noisy features from different modalities. (2) how to obtain an accurate diagnosis when only a single modality is available in real clinical scenarios. To tackle these two issues, we present a two-stage disease diagnostic framework. In the first multi-modal learning stage, we propose a novel Momentum-enriched Multi-Modal Low-Rank (M
    MeSH term(s) Humans ; Glioma ; Learning ; Motion ; Skin
    Language English
    Publishing date 2023-06-21
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1356436-5
    ISSN 1361-8423 ; 1361-8431 ; 1361-8415
    ISSN (online) 1361-8423 ; 1361-8431
    ISSN 1361-8415
    DOI 10.1016/j.media.2023.102874
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5206: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: A Long-Retention Cell Membrane-Targeting AIEgen for Boosting Tumor Theranostics.

    Wang, Xing / Yang, Li / Li, Yuanhang / Wang, Xiaohan / Qi, Zhengjian

    Chemistry, an Asian journal

    2024  , Page(s) e202400305

    Abstract: Designing and developing photosensitizers with cell membrane specificity is crucial for achieving effective multimodal therapy of tumors compared to other organelles. Here, we designed and screened a photosensitizer CM34 through donor/receptor regulation ...

    Abstract Designing and developing photosensitizers with cell membrane specificity is crucial for achieving effective multimodal therapy of tumors compared to other organelles. Here, we designed and screened a photosensitizer CM34 through donor/receptor regulation strategies, and it is able to achieve long-retention cell membrane targeting. It is not only an extremely excellent cell membrane targeted tumor theranostic agent, but also found to be a promising potential immune activator. Specifically, CM34 with a larger intramolecular twist angle is more likely to form larger aggregates in aqueous solutions, and the introduction of cyanide group also enhances its interaction with cell membranes, which were key factors hindering molecular penetration of the cell membrane and prolonging its residence time on the cell membrane, providing conditions for further membrane targeted photodynamic therapy. Furthermore, the efflux of contents caused by cell necrosis directly activates the immune response. In summary, this study realizes to clarify and refine all potential mechanisms of action through density functional theory calculations, photophysical property measurements, and cellular level mechanism exploration, providing a new direction for the clinical development of cell membrane targeted anti-tumor immune activators.
    Language English
    Publishing date 2024-04-23
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2233006-9
    ISSN 1861-471X ; 1861-4728
    ISSN (online) 1861-471X
    ISSN 1861-4728
    DOI 10.1002/asia.202400305
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: An adhesive SERS substrate based on a stretched silver nanowire-tape for the

    Dai, Xing / Xue, Danni / Liu, Xiaohan / Gu, Chenjie / Jiang, Tao

    Analytical methods : advancing methods and applications

    2023  Volume 15, Issue 10, Page(s) 1261–1273

    Abstract: Two essential factors in powerful surface-enhanced Raman spectroscopy analysis of trace pesticide residues ... ...

    Abstract Two essential factors in powerful surface-enhanced Raman spectroscopy analysis of trace pesticide residues are
    Language English
    Publishing date 2023-03-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515210-5
    ISSN 1759-9679 ; 1759-9660
    ISSN (online) 1759-9679
    ISSN 1759-9660
    DOI 10.1039/d3ay00022b
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  4. Article ; Online: Medical federated learning with joint graph purification for noisy label learning.

    Chen, Zhen / Li, Wuyang / Xing, Xiaohan / Yuan, Yixuan

    Medical image analysis

    2023  Volume 90, Page(s) 102976

    Abstract: In terms of increasing privacy issues, Federated Learning (FL) has received extensive attention in medical imaging. Through collaborative training, FL can produce superior diagnostic models with global knowledge, while preserving private data locally. In ...

    Abstract In terms of increasing privacy issues, Federated Learning (FL) has received extensive attention in medical imaging. Through collaborative training, FL can produce superior diagnostic models with global knowledge, while preserving private data locally. In practice, medical diagnosis suffers from intra-/inter-observer variability, thus label noise is inevitable in dataset preparation. Different from existing studies on centralized datasets, the label noise problem in FL scenarios confronts more challenges, due to data inaccessibility and even noise heterogeneity. In this work, we propose a federated framework with joint Graph Purification (FedGP) to address the label noise in FL through server and clients collaboration. Specifically, to overcome the impact of label noise on local training, we first devise a noisy graph purification on the client side to generate reliable pseudo labels by progressively expanding the purified graph with topological knowledge. Then, we further propose a graph-guided negative ensemble loss to exploit the topology of the client-side purified graph with robust complementary supervision against label noise. Moreover, to address the FL label noise with data silos, we propose a global centroid aggregation on the server side to produce a robust classifier with global knowledge, which can be optimized collaboratively in the FL framework. Extensive experiments are conducted on endoscopic and pathological images with the comparison under the homogeneous, heterogeneous, and real-world label noise for medical FL. Among these diverse noisy FL settings, our FedGP framework significantly outperforms denoising and noisy FL state-of-the-arts by a large margin. The source code is available at https://github.com/CUHK-AIM-Group/FedGP.
    MeSH term(s) Humans ; Learning ; Software
    Language English
    Publishing date 2023-10-04
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1356436-5
    ISSN 1361-8423 ; 1361-8431 ; 1361-8415
    ISSN (online) 1361-8423 ; 1361-8431
    ISSN 1361-8415
    DOI 10.1016/j.media.2023.102976
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5206: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading.

    Xing, Xiaohan / Zhu, Meilu / Chen, Zhen / Yuan, Yixuan

    Medical image analysis

    2023  Volume 91, Page(s) 102990

    Abstract: The fusion of multi-modal data, e.g., pathology slides and genomic profiles, can provide complementary information and benefit glioma grading. However, genomic profiles are difficult to obtain due to the high costs and technical challenges, thus limiting ...

    Abstract The fusion of multi-modal data, e.g., pathology slides and genomic profiles, can provide complementary information and benefit glioma grading. However, genomic profiles are difficult to obtain due to the high costs and technical challenges, thus limiting the clinical applications of multi-modal diagnosis. In this work, we investigate the realistic problem where paired pathology-genomic data are available during training, while only pathology slides are accessible for inference. To solve this problem, a comprehensive learning and adaptive teaching framework is proposed to improve the performance of pathological grading models by transferring the privileged knowledge from the multi-modal teacher to the pathology student. For comprehensive learning of the multi-modal teacher, we propose a novel Saliency-Aware Masking (SA-Mask) strategy to explore richer disease-related features from both modalities by masking the most salient features. For adaptive teaching of the pathology student, we first devise a Local Topology Preserving and Discrepancy Eliminating Contrastive Distillation (TDC-Distill) module to align the feature distributions of the teacher and student models. Furthermore, considering the multi-modal teacher may include incorrect information, we propose a Gradient-guided Knowledge Refinement (GK-Refine) module that builds a knowledge bank and adaptively absorbs the reliable knowledge according to their agreement in the gradient space. Experiments on the TCGA GBM-LGG dataset show that our proposed distillation framework improves the pathological glioma grading and outperforms other KD methods. Notably, with the sole pathology slides, our method achieves comparable performance with existing multi-modal methods. The code is available at https://github.com/CUHK-AIM-Group/MultiModal-learning.
    MeSH term(s) Humans ; Learning ; Glioma
    Language English
    Publishing date 2023-10-09
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1356436-5
    ISSN 1361-8423 ; 1361-8431 ; 1361-8415
    ISSN (online) 1361-8423 ; 1361-8431
    ISSN 1361-8415
    DOI 10.1016/j.media.2023.102990
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5206: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: LY103, a pomalidomide derivative, alleviates taxol resistance in NSCLC via energy metabolism crosstalk and tumor microenvironment intervention.

    Wang, Xing / Wang, Xiaohan / Zhao, Yongfei / Qi, Zhengjian

    Bioorganic chemistry

    2023  Volume 136, Page(s) 106558

    Abstract: In this study, we identified HIF 1α as a potential target for reversing taxol resistance in lung cancer by combining bioinformatics analysis with pharmacological analysis. Furthermore, pomalidomide derivative LY103 was also be synthesized by introducing ... ...

    Abstract In this study, we identified HIF 1α as a potential target for reversing taxol resistance in lung cancer by combining bioinformatics analysis with pharmacological analysis. Furthermore, pomalidomide derivative LY103 was also be synthesized by introducing an isatin analogue into the amino terminal ofpomalidomide, and it has a broad antitumor spectrum and showed excellent activity against A549/Taxol cells (IC
    MeSH term(s) Humans ; Carcinoma, Non-Small-Cell Lung/metabolism ; Cell Line, Tumor ; Energy Metabolism ; Lung Neoplasms/pathology ; Molecular Docking Simulation ; Paclitaxel/pharmacology ; Tumor Microenvironment
    Chemical Substances Paclitaxel (P88XT4IS4D) ; pomalidomide (D2UX06XLB5) ; LY103
    Language English
    Publishing date 2023-04-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 120080-x
    ISSN 1090-2120 ; 0045-2068
    ISSN (online) 1090-2120
    ISSN 0045-2068
    DOI 10.1016/j.bioorg.2023.106558
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4207: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Nitrogen-doped lignin-derived electrode materials for supercapacitors were prepared using the domain-limited effect.

    Wang, Bo / Zhang, Xiaohan / Zhou, Jinghui / Wang, Xing / Xu, Jingyu / Tan, Fengzhi

    International journal of biological macromolecules

    2024  Volume 265, Issue Pt 2, Page(s) 130796

    Abstract: Supercapacitors, pivotal in mitigating the energy crisis stemming from dwindling fossil fuel reservoirs, necessitate meticulous consideration of electrode material preparation. While lignin-derived carbon materials sourced sustainably exhibit commendable ...

    Abstract Supercapacitors, pivotal in mitigating the energy crisis stemming from dwindling fossil fuel reservoirs, necessitate meticulous consideration of electrode material preparation. While lignin-derived carbon materials sourced sustainably exhibit commendable potential as electrode materials, their intrinsic low capacitance limits widespread utilization. Herein, nitrogen atom doping of lignin (CNL) was accomplished employing a chemical modification technique employing cyanuric chloride as a dopant. The resultant nitrogen content measured at 2.85 %. Subsequent to CNL carbonation, the generated C
    MeSH term(s) Lignin ; Body Fluids ; Electrodes ; Nitrogen ; Electrolytes
    Chemical Substances Lignin (9005-53-2) ; Nitrogen (N762921K75) ; Electrolytes
    Language English
    Publishing date 2024-03-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2024.130796
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 2374: Show issues Location:
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  8. Article ; Online: Record high external quantum efficiency of 20% achieved in fully solution-processed quantum dot light-emitting diodes based on hole-conductive metal oxides.

    Zhang, Yan / Zhan, Yunfeng / Yuan, Guoqiang / Chen, Xiaohan / Lu, Xianfei / Guan, Jincheng / Xing, Guichuan / Li, Yang / Meng, Fanyuan / Chen, Zhao

    Journal of colloid and interface science

    2024  Volume 660, Page(s) 746–755

    Abstract: Poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) has been widely used as a hole injection material in quantum dot (QD) light-emitting diodes (QLEDs). However, it degrades the organic materials and electrodes in QLEDs due to its strong ... ...

    Abstract Poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) has been widely used as a hole injection material in quantum dot (QD) light-emitting diodes (QLEDs). However, it degrades the organic materials and electrodes in QLEDs due to its strong hydroscopicity and acidity. Although hole-conductive metal oxides have a great potential to solve this disadvantage, it is still a challenge to achieve efficient and stable QLEDs by using these solution-processed metal oxides. Herein, the state-of-the-art QLEDs fabricated by using hole-conductive MoO
    Language English
    Publishing date 2024-01-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 241597-5
    ISSN 1095-7103 ; 0021-9797
    ISSN (online) 1095-7103
    ISSN 0021-9797
    DOI 10.1016/j.jcis.2024.01.099
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

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  9. Article ; Online: Gold-Catalyzed Amine Cascade Addition to Diyne-Ene: Enantioselective Synthesis of 1,2-Dihydropyridines.

    Wei, Jingwen / Xing, Yangyang / Ye, Xiaohan / Nguyen, Bao / Wojtas, Lukasz / Hong, Xin / Shi, Xiaodong

    Angewandte Chemie (International ed. in English)

    2023  Volume 62, Issue 31, Page(s) e202305409

    Abstract: With the well-documented chemical and biological applications, piperidine and pyridine are among the most important N-heterocycles, and a new synthetic strategy, especially one with an alternative bond-forming design, is of general interest. Using the ... ...

    Abstract With the well-documented chemical and biological applications, piperidine and pyridine are among the most important N-heterocycles, and a new synthetic strategy, especially one with an alternative bond-forming design, is of general interest. Using the gold-catalyzed intermolecular condensation of amine and diyne-ene, we report herein the first example of enantioselective 1,2-dihydropyridine synthesis through a formal [3+2+1] fashion (up to 95 % yield, up to 99 % e.e.).
    Language English
    Publishing date 2023-06-14
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2011836-3
    ISSN 1521-3773 ; 1433-7851
    ISSN (online) 1521-3773
    ISSN 1433-7851
    DOI 10.1002/anie.202305409
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Phylogeny and Expression Atlas of the

    Tan, Shibei / Liang, Yanqiong / Huang, Yanlei / Xi, Jingen / Huang, Xing / Yang, Xiaohan / Yi, Kexian

    Plants (Basel, Switzerland)

    2022  Volume 11, Issue 11

    Abstract: ... ...

    Abstract Agave
    Language English
    Publishing date 2022-05-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants11111434
    Database MEDical Literature Analysis and Retrieval System OnLINE

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