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  1. 961

    SVHAE: Spectral Variability-Aware Hybrid Autoencoder for Hyperspectral Underwater Target Detection by Suresh Aala, Sravan Kumar Sikhakolli, Sunil Chinnadurai, Anuj Deshpande, Karthikeyan Elumalai, Md. Abdul Latif Sarker, Hala Mostafa

    Published 2025-01-01
    “…These advancements contribute to the progressing field of HUTD, making the way for robust solutions in marine exploration and detecting targets under the water.…”
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    Article
  2. 962
  3. 963

    Artificial Intelligence for Alzheimer’s Disease Detection: Enhancing Biomarker Analysis and Diagnostic Precision by Richa Gupta, Zoya Iftekhar

    Published 2024-11-01
    “…Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory impairment. …”
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    Article
  4. 964

    Deep learning for early Parkinson's detection: A review of fundus imaging approaches by Zheen ALI, Najdavan KAKO

    Published 2025-06-01
    “…Early detection is essential for improving patient outcomes and potentially slowing the disease's progression. …”
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    Article
  5. 965

    Target recycling product-bridged DNAzyme walker for sensitive detection of microRNA by Ning Pan, Xiangao Jiang, Weixia Qiu, Xiaxia Qiu, Xinchun Ye, Saiduo Liu

    Published 2025-05-01
    “…Abstract The precise and sensitive detection of miRNA is significant for assessing infectious illnesses, particularly pneumonia. …”
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    Article
  6. 966

    Improved ASCVD Screening in Diabetes: a Focus on Scoring Models and Detection Techniques by Zanfirescu Răzvan-Liviu, Anghel Larisa, Tudurachi Bogdan-Sorin, Clement Alexandra-Mihaela, Zăvoi Alexandra, Benchea Laura-Cătălina, Ciocoiu Manuela, Sascău Radu Andy, Stătescu Cristian, Radu Rodica

    Published 2025-04-01
    “…Diabetes accelerates the progression of atherosclerosis through key mechanisms such as insulin resistance, hyperglycemia, dyslipidemia, chronic inflammation, and oxidative stress, significantly increasing the risk of coronary artery disease, stroke, and heart failure. …”
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    Article
  7. 967

    Optimizing diabetic retinopathy detection with electric fish algorithm and bilinear convolutional networks by Udayaraju Pamula, Venkateswararao Pulipati, G. Vijaya Suresh, M. V. Jagannatha Reddy, Anil Kumar Bondala, Srihari Varma Mantena, Ramesh Vatambeti

    Published 2025-04-01
    “…Abstract Diabetic Retinopathy (DR) is a leading cause of vision impairment globally, necessitating regular screenings to prevent its progression to severe stages. Manual diagnosis is labor-intensive and prone to inaccuracies, highlighting the need for automated, accurate detection methods. …”
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    Article
  8. 968

    Alzheimer’s Disease Detection in Various Brain Anatomies Based on Optimized Vision Transformer by Faisal Mehmood, Asif Mehmood, Taeg Keun Whangbo

    Published 2025-06-01
    “…Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and a growing public health concern. …”
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    Article
  9. 969

    Inverted Pyramid Nanostructures Coupled with a Sandwich Immunoassay for SERS Biomarker Detection by Wen-Huei Chang, Shao-Quan Zhang, Zi-Yi Yang, Chun-Hung Lin

    Published 2025-01-01
    “…Building on these results, the SERS platform was adapted for the sensitive and specific detection of hyaluronic acid (HA), a key biomarker associated with inflammation and cancer progression. …”
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    Article
  10. 970

    Validation of salivary proteomic biomarkers for early detection of oral cancer in the Egyptian population by Dalia Ghalwash, Ahmed Ammar, Asmaa Abou-Bakr, Al-Hassan Diab, Ayman El-Gawish

    Published 2025-12-01
    “…Demographic data modified gingival index, oral hygiene level, and salivary levels of the biomarkers were assessed.Results Salivary levels of IL-6, IL-8, and sCD44 progressively increased with increased disease severity. …”
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    Article
  11. 971

    Usefulness of Ultrasound Imaging in Detecting Psoriatic Arthritis of Fingers and Toes in Patients with Psoriasis by Clara De simone, Giacomo Caldarola, Magda D'Agostino, Angelo Carbone, Cristina Guerriero, Lorenzo Bonomo, Pierluigi Amerio, Nicola Magarelli

    Published 2011-01-01
    “…Given that clinical evaluation may underestimate the joint damage and that early treatment can slow down psoriatic arthritis (PsA) progression, screening psoriasis patients with imaging tools that can depict early PsA changes would entail clear benefits. …”
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    Article
  12. 972

    An Activatable Fluorescence/Photoacoustic Bimodal Probe for the Detection of Drug-Induced Liver Senescence by Ying-Hong Yan, Jun-Liang Zhou, Li-Li Ren, Ping-Zhao Liang, Wen Zhang, Tian-Bing Ren, Lin Yuan, Xia Yin, Xiao-Bing Zhang

    Published 2025-02-01
    “…Senescence is an intricate physiological progression that can be instigated by a multiplicity of factors. …”
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    Article
  13. 973

    Utility of nonlinear analysis of heart rate variability in early detection of metabolic syndrome by José Alberto Zamora-Justo, Myriam Campos-Aguilar, María del Carmen Beas-Jara, Pedro Galván-Fernández, Alberto Ponciano-Gómez, Santiago Cristóbal Sigrist-Flores, Rafael Jiménez-Flores, Alejandro Muñoz-Diosdado

    Published 2025-06-01
    “…Moreover, a decrease in SampEn was observed in individuals with one or two metabolic alterations, suggesting that autonomic dysfunction may begin in the early stages of metabolic risk.DiscussionThese findings support the integration of nonlinear HRV analysis with traditional methods to improve the early detection and management of metabolic syndrome. The progressive reduction in heart rate signal complexity may serve as a sensitive marker of early autonomic dysfunction in metabolic deterioration.…”
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  14. 974

    ALPD-Net: a wild licorice detection network based on UAV imagery by Jing Yang, Huaibin Qin, Jianguo Dai, Guoshun Zhang, Miaomiao Xu, Yuan Qin, Jinglong Liu

    Published 2025-07-01
    “…Additionally, to enhance the model’s attention to licorice at different scales, a Lightweight Multi-Scale Module (LMSM) using multi-scale dilated convolution is introduced, significantly reducing the probability of missed detections. At the same time, a Progressive Feature Fusion Module (PFFM) is developed, where a weighted self-attention fusion strategy is employed to effectively merge detailed and semantic information from adjacent layers, thereby preventing information loss or mismatches.Results and discussionThe experimental results show that ALPD-Net achieves good detection accuracy in wild licorice identification, with precision 73.3%, recall 76.1%, and mean Average Precision at IoU=0.50 (mAP50) of 79.5%. …”
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  15. 975
  16. 976

    Advanced Multi-Scale CNN-BiLSTM for Robust Photovoltaic Fault Detection by Xiaojuan Zhang, Bo Jing, Xiaoxuan Jiao, Ruixu Yao

    Published 2025-07-01
    “…The increasing deployment of photovoltaic (PV) systems necessitates robust fault detection mechanisms to ensure operational reliability and safety. …”
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    Article
  17. 977

    In vivo detection of extrapancreatic insulin gene expression in diabetic mice by bioluminescence imaging. by Xiaojuan Chen, Courtney S Larson, Jason West, Xiaomin Zhang, Dixon B Kaufman

    Published 2010-02-01
    “…An average of 5.7 fold increase in the liver signal intensity was detected in the mice that were exposed to hyperglycemia for 8 days. …”
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  18. 978

    Detection of Amylin-β-amyloid Hetero-Oligomers by Enzyme-Linked Immunosorbent Assay by Noah Leibold, Deepak Kotiya, Nirmal Verma, Florin Despa

    Published 2025-02-01
    “…Additionally, using AD model rats, we provided evidence that our assay can be employed for the detection of amylin-Aβ in blood. This assay and protocol are important innovations in the field of AD research because they meet an unmet need to detect mixed amyloid plaques that, if targeted therapeutically, could reduce AD progression and severity.…”
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  19. 979

    Intraoperative predictive model for the detection of metastasis in non-sentinel axillary lymph nodes by José Antonio García-Mejido, Miguel Sanchez-Sevilla, Rocio García-Jimenez, Ana Fernández-Palacín, José Antonio-Sainz

    Published 2022-04-01
    “…These parameters were progressively added according to the simplicity of their evaluation and their predictive value to detect metastasis in non-sentinel lymph-nodes. …”
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  20. 980

    САР1 AS A SERUM MARKER FOR EARLY DETECTION OF LARYNGEAL AND HYPOPHARYNGEAL CANCERS by G. V. Kakurina, D. A. Shishkin, O. V. Cheremisina, I. V. Kondakova, E. L. Choinzonov

    Published 2017-06-01
    “…Currently, there are no available markers that can accurately predict the risk of progression of epithelial dysplasia to squamous cell carcinoma. …”
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    Article