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  1. 601

    Immune characteristics and SALL1 methylation as prognostic biomarkers in primary and metastasis colorectal cancer by Yiwen Zhang, Tianqi Han, Hui Zhang, Jiali Li, Jun Chu, Jiaqi Liu

    Published 2025-08-01
    “…Among these, the methylation level at the cg13755795 site emerged as an independent prognostic biomarker, offering predictive value for patient outcomes.Our findings provide a comprehensive view of the transcriptomic and epigenetic differences between CRC and mCRC, identify novel prognostic biomarkers and therapeutic targets, and propose potential strategies for personalized prognosis prediction and targeted therapy. …”
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  2. 602

    Endometrial Cut Off Thickness as Predictor of Endometrial Pathology in Perimenopausal Women with Abnormal Uterine Bleeding: A Cross-Sectional Study by Priti Kumari, Harsha S. Gaikwad, Banashree Nath

    Published 2022-01-01
    “…We aim to determine the predictive value of endometrial thickness by transvaginal ultrasonography (TVS) in diagnosing endometrial pathology and to evaluate whether Doppler complements its diagnostic efficacy in perimenopausal women with abnormal uterine bleeding. …”
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  3. 603

    The value of nucleoporin 188 in diagnosis, prognosis and immunoregulation: from pan-cancer analysis to gastric cancer verification by Zhengfeng Zhu, Ru Peng, Huanhuan Cai

    Published 2025-08-01
    “…The association between NUP188 and clinicopathologic features was explored, and the predictive value of NUP188 was determined. The effect of NUP188 knockdown on the proliferation, migration, and invasion of GC cells was detected in vitro and vivo.ResultsNUP188 was dysregulated in most human cancers compared to normal tissues with great diagnostic accuracy. …”
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  4. 604

    Non-pharmacological interventions targeting working memory in mild cognitive impairment: a systematic review and meta-analysis by Seyed Sahaf, Zanireh Salimi, Reza Bidaki

    Published 2025-04-01
    “…Working memory (WM) plays a critical role of in cognitive functioning and and has predictive value for daily activities. The aim of the study was to evaluate the effects of non-pharmacological cognitive interventions on WM in individuals with mild cognitive impairment (MCI); it includes a meta-analysis aimed at evaluating the effectiveness of various interventions intended to enhance WM in MCI patients. …”
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  5. 605

    Threshold scores for treatment success after reverse shoulder arthroplasty using Oxford Shoulder, Constant-Murley and University of California Los Angeles scores by Najim Yusof, Sheng Xu, Lie Tijauw Tjoen Denny

    Published 2025-08-01
    “…Conclusion: The OSS, CMS and UCLA shoulder score have good predictive value for treatment success after reverse shoulder arthroplasty.…”
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  6. 606

    Routine Genetic Testing of Germline Breast Cancer Susceptibility ─ Challenges and Opportunities by Cornelia Leo, Kathrin Schwedler, Rosaria Condorelli, Nicole Bürki, Jens Huober, Khalil Zaman, Christian Kurzeder, Marcus Vetter

    Published 2023-10-01
    “…Information on germline BRCA (g*BRCA*) 1/2 pathogenic or likely pathogenic mutations has predictive value for response to platinating agents and poly(ADP-ribose) polymerase inhibitors (PARPi) and survival outcomes of breast cancer (BC) patients. …”
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  7. 607

    Predicting Real-World Physical Activity in Multiple Sclerosis: An Integrated Approach Using Clinical, Sensor-Based, and Self-Reported Measures by Patrick G. Monaghan, Michael VanNostrand, Taylor N. Takla, Nora E. Fritz

    Published 2025-03-01
    “…This study evaluates the predictive value of combining sensor-derived clinical measures and participant-reported outcomes to better forecast prospective physical activity levels in individuals with MS. …”
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  8. 608

    Personalized Organoid-Based Treatments in Older Patients with Cancer: A Registry Study in Progress by Pirmin Häuptle, Kirsten Mertz, Michèle Voegeli, Robert Rosenberg, Emanuel Burri, Svetozar Subotic, Anna Romanens, Anne Leuppi-Taegtmeyer, Christian Regenbrecht, Lena Wedeken, Marcus Vetter

    Published 2024-10-01
    “…Clinical trials have demonstrated a high predictive value and statistically significant correlation between the patient’s clinical response and tumor organoid response in different cancer types. …”
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  9. 609

    Role of Magnetic Resonance Arthrography (MRA) in the Diagnosis of Shoulder Injuries by Prateek Awasthi, Abhishek Dwivedi, Satveer S. Choudhary

    Published 2025-06-01
    “…In comparison with the gold standard for arthroscopy, the sensitivity (Sn), positive predictive value (PPV), and diagnostic accuracy (DA) of MRA for diagnosing shoulder injuries were evaluated. …”
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  10. 610

    PLASMA LEPTIN LEVELS IN METABOLIC SYNDROME PATIENTS WITH ISCHEMIC HEART DISEASE by O. M. Drapkina, R. N. Shepel, T. A. Deeva

    Published 2016-06-01
    “…To assess leptin level in blood serum of patients with metabolic syndrome (MS), including comorbidity with ischemic heart disease (IHD), to reveal possible predictive value of this marker for IHD development in MS. …”
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  11. 611

    Evaluating climatic variability's impact on milk yield across climate zones: A machine learning-based comparative study of Switzerland and Thailand by Boonyarat Phadermrod, Varunya Attasena

    Published 2025-12-01
    “…This study systematically compares conventional and modern machine learning models for milk yield prediction and evaluates the influence of climatic variability in Switzerland (moderate climate) and Thailand (tropical climate) using the same analytical framework.Five models—linear regression, ridge regression, gradient boosting regression, AdaBoost, and LightGBM—are tested with various feature sets, including Day-in-Milk, individual and combined meteorological variables, and three lagged milk yield values to assess their predictive value. Model performance is further analyzed on sub-datasets stratified by breed and parity range to explore climate effects in more homogeneous groups.The results demonstrate that simple models perform comparably to complex ones, with gradient boosting regression consistently outperforming other boosting methods. …”
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  12. 612

    Assessment of podocyte detachment as a pivotal step in the development of focal segmental glomerulosclerosis by Ikbal Ahmed Abdo Elkholy, Wagdi Elkashef, Fatma El-Husseini Mostafa, Amany Hassan

    Published 2024-11-01
    “…Conclusion Standardized reporting of detached podocyte cells is becoming mandatory as they have a high positive predictive value for the expected EM picture.…”
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  13. 613

    Performance Predictors in Elite Athletes: Evaluating the Role of Eccentric Utilization Ratio and Mechanical Power Outputs by Selman Kaya, Mehmet Ersöz

    Published 2025-07-01
    “…In conclusion, although EUR demonstrated limited predictive value particularly in male athletes directly measured strength–power variables appear to be more reliable indicators of athletic performance. …”
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  14. 614

    Using Prediction Confidence Factors to Enhance Collaborative Filtering Recommendation Quality by Dionisis Margaris, Dimitris Spiliotopoulos, Kiriakos Sgardelis, Costas Vassilakis

    Published 2025-05-01
    “…In this paper, we introduce an advanced collaborative filtering recommendation algorithm that upgrades the quality of the recommendations that are produced by considering, along with the rating prediction value of the items computed by the plain collaborative filtering procedure, a number of confidence factors that each rating prediction fulfills. …”
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  15. 615

    Clinical and Fundamental Research Progressions on Tumor-Infiltrating Lymphocytes Therapy in Cancer by Jiandong Hu, Mengli Jin, Weihong Feng, Barbara Nassif-Rausseo, Alexandre Reuben, Chunhua Ma, Gregory Lizee, Fenge Li

    Published 2025-05-01
    “…This review aims to explore recent advancements in the understanding of TILs biology, their prognostic implications, and their predictive value in therapeutic contexts.…”
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  16. 616

    MicroRNA, HPV AND CERVICAL CARCINOGENESIS: MOLECULAR ASPECTS AND PROSPECTS OF CLINICAL APPLICATION by P. A. Arkhangelskaya, E. V. Bakhidze, I. V. Berlev, R. B. Samsonov, M. K. Ivanov, A. V. Malek

    Published 2016-10-01
    “…However, the positive predictive value of such an analysis is not high enough. …”
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  17. 617

    Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women by Hanpei Miao, Sian Liu, Zehua Wang, Yu Ke, Linling Cheng, Wenyao Yu, Dihui Yu, Kang Zhang, Yuanxu Gao, Zhuo Sun

    Published 2025-06-01
    “…Lower AMH levels correlated with earlier reproductive aging milestones, emphasizing the predictive value of retinal aging. Genetic data from genome-wide association studies further supported these associations and enhanced AMH prediction through multimodal modeling. …”
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  18. 618

    PTSD course and predictors in a 15 year longitudinal cohort following suspected serious injury by Jeanet F. Karchoud, Chris M. Hoeboer, Irina Karaban, Joanne Mouthaan, Marit Sijbrandij, Miranda Olff, Rens van de Schoot, Mirjam van Zuiden

    Published 2025-08-01
    “…Early post-trauma predictors had predictive value up to 12–15 years. This suggests that early risk identification of one-year PTSD and subsequent effective early interventions also hold long-term beneficial effects for PTSD outcome.…”
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  19. 619

    Developing serum proteomics based prediction models of disease progression in ADPKD by Hande Ö. Aydogan Balaban, Sita Arjune, Franziska Grundmann, Jan-Wilm Lackmann, Thomas Rauen, Philipp Antczak, Roman-Ulrich Müller

    Published 2025-07-01
    “…The final outcome prediction model (adjusted R² 0.31) contains six proteins, namely Endothelial Plasminogen Activator Inhibitor (SERPINF1), Glutathione Peroxidase 3 (GPX3), Afamin (AFM), FERM Domain Containing Kindlin-3 (FERMT3), Complement Factor H Related 1 (CFHR1), and Retinoic Acid Receptor Responder 2 (RARRES2), the predictive value of which is independent from the clinical and imaging parameters currently used in clinical care. …”
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  20. 620

    A NON-INVASIVE MARKER OF INSULIN RESISTANCE IN PATIENTS WITH OBESITY by N. G. Veselovskaya, G. A. Chumakova, A. V. Ott, O. V. Gritsenko

    Published 2013-12-01
    “…To investigate the association between the thickness of epicardial fat tissue (tEFT) and IR and to determine the predictive value and threshold levels of tEFT for the diagnostics of IR. …”
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