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  1. Artikel ; Online: Ankyrons: There Might Be a "Gold Mine" for Students, Scientists, and Clinicians.

    Li, Yingbo / Wang, Junfeng

    Chemical & biomedical imaging

    2024  Band 2, Heft 3, Seite(n) 165–167

    Sprache Englisch
    Erscheinungsdatum 2024-02-02
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2832-3637
    ISSN (online) 2832-3637
    DOI 10.1021/cbmi.4c00004
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Calibration slope versus discrimination slope: shoes on the wrong feet.

    Wang, Junfeng

    Journal of clinical epidemiology

    2020  Band 125, Seite(n) 161–162

    Mesh-Begriff(e) Calibration ; Foot ; Humans ; Shoes
    Sprache Englisch
    Erscheinungsdatum 2020-06-04
    Erscheinungsland United States
    Dokumenttyp Letter ; Comment
    ZDB-ID 639306-8
    ISSN 1878-5921 ; 0895-4356
    ISSN (online) 1878-5921
    ISSN 0895-4356
    DOI 10.1016/j.jclinepi.2020.06.002
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  3. Artikel ; Online: Site-specifically radiolabeled nanobodies for imaging blood-brain barrier penetration and targeting in the brain.

    Li, Yingbo / Wang, Junfeng

    Journal of labelled compounds & radiopharmaceuticals

    2023  Band 66, Heft 14, Seite(n) 444–451

    Abstract: Nanobodies (Nbs) hold significant potential in molecular imaging due to their unique characteristics. However, there are challenges to overcome when it comes to brain imaging. To address these obstacles, collaborative efforts and interdisciplinary ... ...

    Abstract Nanobodies (Nbs) hold significant potential in molecular imaging due to their unique characteristics. However, there are challenges to overcome when it comes to brain imaging. To address these obstacles, collaborative efforts and interdisciplinary research are needed. This article aims to raise awareness and encourage collaboration among researchers from various fields to find solutions for effective brain imaging using Nbs. By fostering cooperation and knowledge sharing, we can make progress in overcoming the existing limitations and pave the way for improved molecular imaging techniques in the future.
    Mesh-Begriff(e) Single-Domain Antibodies/metabolism ; Blood-Brain Barrier/diagnostic imaging ; Blood-Brain Barrier/metabolism ; Molecular Imaging/methods
    Chemische Substanzen Single-Domain Antibodies
    Sprache Englisch
    Erscheinungsdatum 2023-10-24
    Erscheinungsland England
    Dokumenttyp Journal Article ; Review ; Research Support, N.I.H., Extramural
    ZDB-ID 196095-7
    ISSN 1099-1344 ; 0362-4803 ; 0022-2135
    ISSN (online) 1099-1344
    ISSN 0362-4803 ; 0022-2135
    DOI 10.1002/jlcr.4069
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  4. Artikel ; Online: Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences.

    Liu, Yong / Ju, Shenggen / Wang, Junfeng

    BMC medical informatics and decision making

    2024  Band 24, Heft 1, Seite(n) 75

    Abstract: Background: Telemedicine has experienced rapid growth in recent years, aiming to enhance medical efficiency and reduce the workload of healthcare professionals. During the COVID-19 pandemic in 2019, it became especially crucial, enabling remote ... ...

    Abstract Background: Telemedicine has experienced rapid growth in recent years, aiming to enhance medical efficiency and reduce the workload of healthcare professionals. During the COVID-19 pandemic in 2019, it became especially crucial, enabling remote screenings and access to healthcare services while maintaining social distancing. Online consultation platforms have emerged, but the demand has strained the availability of medical professionals, directly leading to research and development in automated medical consultation. Specifically, there is a need for efficient and accurate medical dialogue summarization algorithms to condense lengthy conversations into shorter versions focused on relevant medical facts. The success of large language models like generative pre-trained transformer (GPT)-3 has recently prompted a paradigm shift in natural language processing (NLP) research. In this paper, we will explore its impact on medical dialogue summarization.
    Methods: We present the performance and evaluation results of two approaches on a medical dialogue dataset. The first approach is based on fine-tuned pre-trained language models, such as bert-based summarization (BERTSUM) and bidirectional auto-regressive Transformers (BART). The second approach utilizes a large language models (LLMs) GPT-3.5 with inter-context learning (ICL). Evaluation is conducted using automated metrics such as ROUGE and BERTScore.
    Results: In comparison to the BART and ChatGPT models, the summaries generated by the BERTSUM model not only exhibit significantly lower ROUGE and BERTScore values but also fail to pass the testing for any of the metrics in manual evaluation. On the other hand, the BART model achieved the highest ROUGE and BERTScore values among all evaluated models, surpassing ChatGPT. Its ROUGE-1, ROUGE-2, ROUGE-L, and BERTScore values were 14.94%, 53.48%, 32.84%, and 6.73% higher respectively than ChatGPT's best results. However, in the manual evaluation by medical experts, the summaries generated by the BART model exhibit satisfactory performance only in the "Readability" metric, with less than 30% passing the manual evaluation in other metrics. When compared to the BERTSUM and BART models, the ChatGPT model was evidently more favored by human medical experts.
    Conclusion: On one hand, the GPT-3.5 model can manipulate the style and outcomes of medical dialogue summaries through various prompts. The generated content is not only better received than results from certain human experts but also more comprehensible, making it a promising avenue for automated medical dialogue summarization. On the other hand, automated evaluation mechanisms like ROUGE and BERTScore fall short in fully assessing the outputs of large language models like GPT-3.5. Therefore, it is necessary to research more appropriate evaluation criteria.
    Mesh-Begriff(e) Humans ; Pandemics ; Algorithms ; Benchmarking ; COVID-19 ; Communication
    Sprache Englisch
    Erscheinungsdatum 2024-03-14
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2046490-3
    ISSN 1472-6947 ; 1472-6947
    ISSN (online) 1472-6947
    ISSN 1472-6947
    DOI 10.1186/s12911-024-02481-8
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: From Coarse to Fine: Non-Rigid Sparse-Dense Registration for Deformation-Aware Liver Surgical Navigation.

    Tu, Puxun / Hu, Pingping / Wang, Junfeng / Chen, Xiaojun

    IEEE transactions on bio-medical engineering

    2024  Band PP

    Abstract: Objective: Intraoperative liver deformation poses a considerable challenge during liver surgery, causing significant errors in image-guided surgical navigation systems. This study addresses a critical non-rigid registration problem in liver surgery: the ...

    Abstract Objective: Intraoperative liver deformation poses a considerable challenge during liver surgery, causing significant errors in image-guided surgical navigation systems. This study addresses a critical non-rigid registration problem in liver surgery: the alignment of intrahepatic vascular trees. The goal is to deform the complete vascular shape extracted from preoperative Computed Tomography (CT) volume, aligning it with sparse vascular contour points obtained from intraoperative ultrasound (iUS) images. Challenges arise due to the intricate nature of slender vascular branches, causing existing methods to struggle with accuracy and vascular self-intersection.
    Methods: We present a novel non-rigid sparse-dense registration pipeline structured in a coarse-to-fine fashion. In the initial coarse registration stage, we introduce a parametrization deformation graph and a Welsch function-based error metric to enhance convergence and robustness of non-rigid registration. For the fine registration stage, we propose an automatic curvature-based algorithm to detect and eliminate overlapping regions. Subsequently, we generate the complete vascular shape using posterior computation of a Gaussian Process Shape Model.
    Results: Experimental results using simulated data demonstrate the accuracy and robustness of our proposed method. Evaluation results on the target registration error of tumors highlight the clinical significance of our method in tumor location computation. Comparative analysis against related methods reveals superior accuracy and competitive efficiency of our approach. Moreover, Ex vivo swine liver experiments and clinical experiments were conducted to evaluate the method's performance.
    Conclusion: The experimental results itasize the accurate and robust performance of our proposed method.
    Significance: Our proposed non-rigid registration method holds significant application potential in clinical practice.
    Sprache Englisch
    Erscheinungsdatum 2024-04-26
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 160429-6
    ISSN 1558-2531 ; 0018-9294
    ISSN (online) 1558-2531
    ISSN 0018-9294
    DOI 10.1109/TBME.2024.3386704
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  6. Artikel ; Online: Recent Advances in the Total Synthesis of Spirotryprostatin Alkaloids.

    Hu, Jing / Niu, Zhen-Xi / Wang, Jun-Feng

    Molecules (Basel, Switzerland)

    2024  Band 29, Heft 7

    Abstract: Spirotryprostatin alkaloids, a class of alkaloids with a unique spirocyclic indoledionepiperazine structure, were first extracted from the fermentation broth of Aspergillus fumigatus and have garnered significant attention in the fields of biology and ... ...

    Abstract Spirotryprostatin alkaloids, a class of alkaloids with a unique spirocyclic indoledionepiperazine structure, were first extracted from the fermentation broth of Aspergillus fumigatus and have garnered significant attention in the fields of biology and pharmacology. The investigation into the pharmacological potential of this class of alkaloids has unveiled promising applications in drug discovery and development. Notably, certain spirotryprostatin alkaloids have demonstrated remarkable anti-cancer activity, positioning them as potential candidates for anti-tumor drug development. In recent years, organic synthetic chemists have dedicated efforts to devise efficient and viable strategies for the total synthesis of spirotryprostatin alkaloids, aiming to meet the demands within the pharmaceutical domain. The construction of the spiro-C atom within the spirotryprostatin scaffold and the chirality control at the spiro atomic center emerge as pivotal aspects in the synthesis of these compounds. This review categorically delineates the synthesis of spirotryprostatin alkaloids based on the formation mechanism of the spiro-C atom.
    Mesh-Begriff(e) Fermentation ; Alkaloids ; Aspergillus fumigatus ; Drug Discovery
    Chemische Substanzen Alkaloids
    Sprache Englisch
    Erscheinungsdatum 2024-04-07
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article ; Review
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29071655
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  7. Artikel ; Online: Recent advances in total synthesis of protoberberine and chiral tetrahydroberberine alkaloids.

    Niu, Zhen-Xi / Wang, Ya-Tao / Wang, Jun-Feng

    Natural product reports

    2024  

    Abstract: Covering: Up to 2024Due to the widespread distribution of protoberberine alkaloids (PBs) and tetrahydroberberine alkaloids (THPBs) in nature, coupled with their myriad unique physiological activities, they have garnered considerable attention from ... ...

    Abstract Covering: Up to 2024Due to the widespread distribution of protoberberine alkaloids (PBs) and tetrahydroberberine alkaloids (THPBs) in nature, coupled with their myriad unique physiological activities, they have garnered considerable attention from medical practitioners. Over the past few decades, synthetic chemists have devised various total synthesis methods to attain these structures, continually expanding reaction pathways to achieve more efficient synthetic strategies. Simultaneously, the chiral construction of THPBs has become a focal point. In this comprehensive review, we categorically summarized the developmental trajectory of the total synthesis of these alkaloids based on the core closure strategies of protoberberine and tetrahydroberberine.
    Sprache Englisch
    Erscheinungsdatum 2024-05-07
    Erscheinungsland England
    Dokumenttyp Journal Article ; Review
    ZDB-ID 2002546-4
    ISSN 1460-4752 ; 0265-0568
    ISSN (online) 1460-4752
    ISSN 0265-0568
    DOI 10.1039/d4np00016a
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  8. Artikel ; Online: Leveraging machine learning for predicting acute graft-versus-host disease grades in allogeneic hematopoietic cell transplantation for T-cell prolymphocytic leukaemia.

    Chandra, Gunjan / Wang, Junfeng / Siirtola, Pekka / Röning, Juha

    BMC medical research methodology

    2024  Band 24, Heft 1, Seite(n) 112

    Abstract: Orphan diseases, exemplified by T-cell prolymphocytic leukemia, present inherent challenges due to limited data availability and complexities in effective care. This study delves into harnessing the potential of machine learning to enhance care ... ...

    Abstract Orphan diseases, exemplified by T-cell prolymphocytic leukemia, present inherent challenges due to limited data availability and complexities in effective care. This study delves into harnessing the potential of machine learning to enhance care strategies for orphan diseases, specifically focusing on allogeneic hematopoietic cell transplantation (allo-HCT) in T-cell prolymphocytic leukemia. The investigation evaluates how varying numbers of variables impact model performance, considering the rarity of the disease. Utilizing data from the Center for International Blood and Marrow Transplant Research, the study scrutinizes outcomes following allo-HCT for T-cell prolymphocytic leukemia. Diverse machine learning models were developed to forecast acute graft-versus-host disease (aGvHD) occurrence and its distinct grades post-allo-HCT. Assessment of model performance relied on balanced accuracy, F1 score, and ROC AUC metrics. The findings highlight the Linear Discriminant Analysis (LDA) classifier achieving the highest testing balanced accuracy of 0.58 in predicting aGvHD. However, challenges arose in its performance during multi-class classification tasks. While affirming the potential of machine learning in enhancing care for orphan diseases, the study underscores the impact of limited data and disease rarity on model performance.
    Mesh-Begriff(e) Graft vs Host Disease/diagnosis ; Graft vs Host Disease/etiology ; Humans ; Machine Learning ; Hematopoietic Stem Cell Transplantation/methods ; Hematopoietic Stem Cell Transplantation/adverse effects ; Transplantation, Homologous/methods ; Leukemia, Prolymphocytic, T-Cell/therapy ; Leukemia, Prolymphocytic, T-Cell/diagnosis ; Male ; Middle Aged ; Female ; Adult ; Acute Disease
    Sprache Englisch
    Erscheinungsdatum 2024-05-11
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 2041362-2
    ISSN 1471-2288 ; 1471-2288
    ISSN (online) 1471-2288
    ISSN 1471-2288
    DOI 10.1186/s12874-024-02237-y
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel ; Online: ZMIZ1 Regulates Proliferation, Autophagy and Apoptosis of Colon Cancer Cells by Mediating Ubiquitin-Proteasome Degradation of SIRT1.

    Huang, Min / Wang, Junfeng / Zhang, Zhengrong / Zuo, Xueliang

    Biochemical genetics

    2024  

    Abstract: There are nearly 1.15 million new cases of colon cancer, as well as 586,858 deaths from colon cancer worldwide in 2020. The aim of this study is to reveal whether ZMIZ1 can control the fate of colon cancer cells and the mechanism by which it functions. ... ...

    Abstract There are nearly 1.15 million new cases of colon cancer, as well as 586,858 deaths from colon cancer worldwide in 2020. The aim of this study is to reveal whether ZMIZ1 can control the fate of colon cancer cells and the mechanism by which it functions. Specific shRNA transfection was used to knock down the expression of ZMIZ1 in colon cancer cell lines (HCT116 and HT29), and cell proliferation was detected using EdU and CCK-8 reagents, apoptosis by flow cytometry, and autophagy by western blot. The interaction of ZMIZ1 and SIRT1 was analyzed. Knockdown of ZMIZ1 significantly inhibited autophagy and proliferation, and induced apoptosis of HCT116 and HT29 cells. The mRNA level of SIRT1 was not affected by ZMIZ1 knockdown, but the protein level of SIRT1 was significantly decreased and the protein level of the SIRT1-specific substrate, acetylated FOXO3a, was reduced. Immunoprecipitation assays identified the interaction between SIRT1 and ZMIZ1 in HCT116 and HT29 cells. ZMIZ1 increased intracellular ubiquitination of SIRT1. Knockdown or pharmacological inhibition of SIRT1 neutralized the effects of ZMIZ knockdown on proliferation, autophagy and apoptosis in HCT116 and HT29 cells. ZMIZ1 may control the fate of colon cancer cells through the SIRT1/FOXO3a axis. Targeting ZMIZ1 would be beneficial for the treatment of colon cancer.
    Sprache Englisch
    Erscheinungsdatum 2024-01-12
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2168-4
    ISSN 1573-4927 ; 0006-2928
    ISSN (online) 1573-4927
    ISSN 0006-2928
    DOI 10.1007/s10528-023-10573-9
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  10. Artikel: PB1F2 from Influenza A Virus Regulates the Interaction between Cytochrome C and Cardiolipin.

    Wang, Yujuan / Wang, Junfeng

    Membranes

    2022  Band 12, Heft 8

    Abstract: PB1F2 is a membrane associated protein encoded by the influenza virus gene in the host. Similar to endogenous pro-apoptotic proteins, it acts on the mitochondria of the host immune cells, inducing apoptosis of the cells. The PB1F2 protein has been ... ...

    Abstract PB1F2 is a membrane associated protein encoded by the influenza virus gene in the host. Similar to endogenous pro-apoptotic proteins, it acts on the mitochondria of the host immune cells, inducing apoptosis of the cells. The PB1F2 protein has been demonstrated to facilitate the release of cytochrome c in addition to impairing the integrity of the inner mitochondrial membrane. This investigation focused on how the protein PB1F2 interacted with cardiolipin and cytochrome c. The regulation of PB1F2 on the binding of cytochrome c to cardiolipin in two kinds of in vitro membrane mimics was investigated by biophysical techniques. PB1F2 aids in the dissociation of cytochrome c-cardiolipin complexes in liposomes and nanodiscs. The results provide novel explanations and evidence for how PB1F2 functions as a viral virulence factor by inducing immune cell death.
    Sprache Englisch
    Erscheinungsdatum 2022-08-18
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2614641-1
    ISSN 2077-0375
    ISSN 2077-0375
    DOI 10.3390/membranes12080795
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