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  1. Article ; Online: Research on automatic classification method of mobile laser point cloud data based on deep learning

    HUANG Gang

    Acta Geodaetica et Cartographica Sinica, Vol 51, Iss 5, Pp 786-

    2022  Volume 786

    Keywords Mathematical geography. Cartography ; GA1-1776
    Language Chinese
    Publishing date 2022-05-01T00:00:00Z
    Publisher Surveying and Mapping Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online ; E-Book: Personalized pathway-activated systems imaging in oncology

    Inoue, Tomio / Yang, David / Huang, Gang

    principal and instrumentation

    2017  

    Author's details Tomio Inoue, David Yang, Gang Huang editors
    Keywords FDG PET ; Nuclear biomarker ; Nuclear imaging ; Personalized treatment ; Radiopharmaceutical ; Theranostic
    Subject code 610
    Language English
    Size 1 Online-Ressource (xii, 243 Seiten), Illustrationen
    Publisher Springer
    Publishing place Singapore
    Publishing country Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019402523
    ISBN 978-981-10-3349-0 ; 9789811033483 ; 981-10-3349-8 ; 981103348X
    DOI 10.1007/978-981-10-3349-0
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article: An improved AdaBoost algorithm for identification of lung cancer based on electronic nose.

    Hao, Lijun / Huang, Gang

    Heliyon

    2023  Volume 9, Issue 3, Page(s) e13633

    Abstract: The research developed an improved intelligent enhancement learning algorithm based on AdaBoost, that can be applied for lung cancer breath detection by the electronic nose (eNose). First, collected the breath signals from volunteers by eNose, including ... ...

    Abstract The research developed an improved intelligent enhancement learning algorithm based on AdaBoost, that can be applied for lung cancer breath detection by the electronic nose (eNose). First, collected the breath signals from volunteers by eNose, including healthy individuals and people who had lung cancer. Additionally, the signals' features were extracted and optimized. Then, multi sub-classifiers were obtained, and their coefficients were derived from the training error. To improve generalization performance, K-fold cross-validation was used when constructing each sub-classifier. The prediction results of a sub-classifier on the test set were then achieved by the voting method. Thus, an improved AdaBoost classifier would be built through heterogeneous integration. The results shows that the average precision of the improved algorithm classifier for distinguishing between people with lung cancer and healthy individuals could reach 98.47%, with 98.33% sensitivity and 97% specificity. And in 100 independent and randomized tests, the coefficient of variation of the classifier's performance hardly exceeded 4%. Compared with other integrated algorithms, the generalization and stability of the improved algorithm classifier are more superior. It is clear that the improved AdaBoost algorithm may help screen out lung cancer more comprehensively. Additionally, it will significantly advance the use of eNose in the early identification of lung cancer.
    Language English
    Publishing date 2023-02-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e13633
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Food for thought (and CML survival).

    Sezaki, Maiko / Huang, Gang

    Blood

    2023  Volume 142, Issue 6, Page(s) 502–504

    MeSH term(s) Humans ; Protein-Tyrosine Kinases/antagonists & inhibitors ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/mortality ; Leukemia, Myeloid, Acute ; Stem Cells
    Chemical Substances Protein-Tyrosine Kinases (EC 2.7.10.1)
    Language English
    Publishing date 2023-08-07
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80069-7
    ISSN 1528-0020 ; 0006-4971
    ISSN (online) 1528-0020
    ISSN 0006-4971
    DOI 10.1182/blood.2023021051
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Editorial: Novel insights about subchondral bone remodeling in arthropathies.

    Yang, Chuan / Deng, Zihan / Huang, Gang / Chen, Yueqi

    Frontiers in physiology

    2024  Volume 15, Page(s) 1369928

    Language English
    Publishing date 2024-02-01
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2024.1369928
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: CCL7 and olfactory transduction pathway activation play an important role in the formation of CaOx and CaP kidney stones.

    Zhang, Qiankun / Wei, Hhuiling / Huang, Gang / Jin, Lie

    Frontiers in genetics

    2024  Volume 14, Page(s) 1267545

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-01-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2023.1267545
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: An improved AdaBoost algorithm for identification of lung cancer based on electronic nose

    Hao, Lijun / Huang, Gang

    Heliyon. 2023 Mar., v. 9, no. 3 p.e13633-

    2023  

    Abstract: The research developed an improved intelligent enhancement learning algorithm based on AdaBoost, that can be applied for lung cancer breath detection by the electronic nose (eNose). First, collected the breath signals from volunteers by eNose, including ... ...

    Abstract The research developed an improved intelligent enhancement learning algorithm based on AdaBoost, that can be applied for lung cancer breath detection by the electronic nose (eNose). First, collected the breath signals from volunteers by eNose, including healthy individuals and people who had lung cancer. Additionally, the signals' features were extracted and optimized. Then, multi sub-classifiers were obtained, and their coefficients were derived from the training error. To improve generalization performance, K-fold cross-validation was used when constructing each sub-classifier. The prediction results of a sub-classifier on the test set were then achieved by the voting method. Thus, an improved AdaBoost classifier would be built through heterogeneous integration. The results shows that the average precision of the improved algorithm classifier for distinguishing between people with lung cancer and healthy individuals could reach 98.47%, with 98.33% sensitivity and 97% specificity. And in 100 independent and randomized tests, the coefficient of variation of the classifier's performance hardly exceeded 4%. Compared with other integrated algorithms, the generalization and stability of the improved algorithm classifier are more superior. It is clear that the improved AdaBoost algorithm may help screen out lung cancer more comprehensively. Additionally, it will significantly advance the use of eNose in the early identification of lung cancer.
    Keywords algorithms ; electronic nose ; lung neoplasms ; people ; prediction ; Lung cancer ; Enhancing learning ; AdaBoost ; K-fold cross-validation ; Voting ; GA
    Language English
    Dates of publication 2023-03
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Use and reproduction
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e13633
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Repurposing immunosuppressants for antileukemia therapy.

    Sezaki, Maiko / Huang, Gang

    EMBO molecular medicine

    2022  , Page(s) e17042

    Abstract: Drug repurposing, the strategy to identify new therapeutic use for clinically approved drugs has attracted much attention in recent years. This strategy offers various advantages over traditional approaches to develop new drugs, including shorter ... ...

    Abstract Drug repurposing, the strategy to identify new therapeutic use for clinically approved drugs has attracted much attention in recent years. This strategy offers various advantages over traditional approaches to develop new drugs, including shorter development timelines, low cost, and reduced risk of failure. In this issue of EMBO Molecular Medicine, Liu et al show that inosine monophosphate dehydrogenase (IMPDH) inhibitors, the well-known immunosuppressants have a potent therapeutic effect on the aggressive blood cancer, acute myeloid leukemia with MLL rearrangements. Intriguingly, the antileukemia effect of IMPDH inhibitors is mediated, at least in part through the overactivation of TLR signaling and Vcam1 upregulation. The robust antileukemia effect of IMPDH inhibitors, both in vitro and in vivo, together with their mechanistic findings provides a rational basis for repurposing IMPDH inhibitors for antileukemia therapy.
    Language English
    Publishing date 2022-12-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2467145-9
    ISSN 1757-4684 ; 1757-4676
    ISSN (online) 1757-4684
    ISSN 1757-4676
    DOI 10.15252/emmm.202217042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Tooth Loss Trajectories and Their Association with Functional Disability among Older Chinese Adults: Results from the Chinese Longitudinal Healthy Longevity Survey.

    Huang, Gang / Cao, Guiying

    The journal of evidence-based dental practice

    2022  Volume 22, Issue 4, Page(s) 101771

    Abstract: Background: Tooth loss becomes more prevalent with age and increases risk of functional disability. However, the strength of tooth loss varies between individuals rather than a uniform loss with age. We aimed to evaluate tooth loss trajectories and ... ...

    Abstract Background: Tooth loss becomes more prevalent with age and increases risk of functional disability. However, the strength of tooth loss varies between individuals rather than a uniform loss with age. We aimed to evaluate tooth loss trajectories and their association with functional disability among older Chinese adults.
    Methods: We included 16,209 participants aged ≥65 years from five waves of the Chinese Longitudinal Healthy Longevity Survey 2002-2014. The number of teeth, Activities of Daily Living (ADL), and Instrumental ADL (IADL) were assessed at baseline and subsequently every three years. ADL disability and IADL disability were defined as needing any help in any item of the Katz scale and a modified Lawton's scale, respectively. A group-based trajectory model was used to determine tooth loss trajectories based on the self-reported number of teeth and generalized estimating equation models were used to explore associations of tooth loss trajectories with ADL disability and IADL disability.
    Results: This study identified four tooth loss trajectories, including Progressively Mild Loss (14.4%), Progressively Severe Loss (21.5%), Persistently Severe Loss (45.1%), and Edentulism (19.0%) among older Chinese adults. Compared with the Progressively Mild Loss trajectory, the Progressively Severe Loss (ADL disability: OR=1.45, 95% CI: 1.15-1.84; IADL disability: OR=1.71, 95% CI: 1.47-1.99), Persistently Severe Loss (ADL disability: OR=2.33, 95% CI:1.93-2.82; IADL disability: OR=3.29, 95% CI: 2.82-3.84) and Edentulism (ADL disability: OR=3.25, 95% CI: 2.58-4.09; IADL disability: OR=3.60, 95% CI: 2.93-4.42) trajectories were significantly associated with an increased risk of functional disability with adjustment for potential confounders.
    Conclusion: Four distinct tooth loss trajectories were identified among older adults and those with severe tooth loss trajectories had an increased risk of functional disability than those with a mild loss trajectory.
    Language English
    Publishing date 2022-08-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2056058-8
    ISSN 1532-3390 ; 1532-3382
    ISSN (online) 1532-3390
    ISSN 1532-3382
    DOI 10.1016/j.jebdp.2022.101771
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Intraoperative capsule protection can reduce the potential risk of adjacent segment degeneration acceleration biomechanically: an in silico study.

    Huang, Fei / Huang, Gang / Jia, Junpengli / Lu, Shihao / Li, Jingchi

    Journal of orthopaedic surgery and research

    2024  Volume 19, Issue 1, Page(s) 143

    Abstract: Background: The capsule of the zygapophyseal joint plays an important role in motion segmental stability maintenance. Iatrogenic capsule injury is a common phenomenon in posterior approach lumbar interbody fusion operations, but whether this procedure ... ...

    Abstract Background: The capsule of the zygapophyseal joint plays an important role in motion segmental stability maintenance. Iatrogenic capsule injury is a common phenomenon in posterior approach lumbar interbody fusion operations, but whether this procedure will cause a higher risk of adjacent segment degeneration acceleration biomechanically has yet to be identified.
    Methods: Posterior lumbar interbody fusion (PLIF) with different grades of iatrogenic capsule injury was simulated in our calibrated and validated numerical model. By adjusting the cross-sectional area of the capsule, different grades of capsule injury were simulated. The stress distribution on the cranial motion segment was computed under different loading conditions to judge the potential risk of adjacent segment degeneration acceleration.
    Results: Compared to the PLIF model with an intact capsule, a stepwise increase in the stress value on the cranial motion segment can be observed with a step decrease in capsule cross-sectional areas. Moreover, compared to the difference between models with intact and slightly injured capsules, the difference in stress values was more evident between models with slight and severe iatrogenic capsule injury.
    Conclusion: Intraoperative capsule protection can reduce the potential risk of adjacent segment degeneration acceleration biomechanically, and iatrogenic capsule damage on the cranial motion segment should be reduced to optimize patients' long-term prognosis.
    MeSH term(s) Humans ; Spinal Fusion/adverse effects ; Spinal Fusion/methods ; Lumbar Vertebrae/surgery ; Motion ; Acceleration ; Iatrogenic Disease/prevention & control ; Biomechanical Phenomena ; Intervertebral Disc Degeneration/etiology ; Intervertebral Disc Degeneration/prevention & control ; Intervertebral Disc Degeneration/surgery
    Language English
    Publishing date 2024-02-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 2252548-8
    ISSN 1749-799X ; 1749-799X
    ISSN (online) 1749-799X
    ISSN 1749-799X
    DOI 10.1186/s13018-024-04550-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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