Showing 8,001 - 8,020 results of 8,845 for search '"interpreter"', query time: 0.10s Refine Results
  1. 8001

    Clinical utility of receptor status prediction in breast cancer and misdiagnosis identification using deep learning on hematoxylin and eosin-stained slides by Gil Shamai, Ran Schley, Alexandra Cretu, Tal Neoran, Edmond Sabo, Yoav Binenbaum, Shachar Cohen, Tal Goldman, António Polónia, Keren Drumea, Karin Stoliar, Ron Kimmel

    Published 2024-12-01
    “…Nevertheless, current methods rely on the qualitative interpretation of immunohistochemistry and fluorescence in situ hybridization (FISH), which can be costly, time-consuming, and inconsistent. …”
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  2. 8002

    Effect of phosphorus fractions on benthic chlorophyll-a: Insight from the machine learning models by Yuting Wang, Sangar Khan, Zongwei Lin, Xinxin Qi, Kamel M. Eltohamy, Collins Oduro, Chao Gao, Paul J. Milham, Naicheng Wu

    Published 2025-03-01
    “…The SHapley Additive exPlanations (SHAP) were used to interpret the RF model, revealing CP as the most influential predictor of benthic chl-a levels. …”
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  3. 8003

    Postmortem Analysis of Ethyl Alcohol Concentration in Blood, Urine, Muscle and Bile by Agnė Okulevičiūtė, Sigitas Chmieliauskas, Gabija Laubner-Sakalauskienė, Robertas Badaras, Sigitas Laima, Diana Vasiljevaitė, Jurgita Stasiūnienė

    Published 2024-12-01
    “…To avoid postmortem changes in blood alcohol concentration, the test substance must be transported in special media enriched with sodium fluoride or potassium oxalate. When interpreting changes in concentrations in the body, it is important to assess not only the blood but also other body fluids or tissues. …”
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  4. 8004

    Moving from monitoring to real-time interventions for air quality: are low-cost sensor networks ready to support urban digital twins? by Nicole Hannah Cowell, Nicole Hannah Cowell, Lee Chapman, David Topping, Philip James, Daniel Bell, Thomas Bannan, Ettore Murabito, James Evans, Mark Birkin

    Published 2025-01-01
    “…Urban digital twins are the next logical step on this journey and these are becoming increasingly popular as a tool, at least conceptually, to better interpret this data as well as better understand the consequences of management interventions. …”
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  5. 8005

    Photometric Determination of Unresolved Main-sequence Binaries in the Pleiades: Binary Fraction and Mass-ratio Distribution by Rongrong Liu, Zhengyi Shao, Lu Li

    Published 2025-01-01
    “…This distribution can be interpreted as a fiducial power-law profile with an exponent of −1.0 that is determined in the range of 0.3 < q < 0.8, but with a deficiency of binaries at lower q and an excess at higher q . …”
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  6. 8006

    Enhanced BP Algorithm Combined With Semantic Segmentation and Subaperture for Improving Agricultural Scene Image Quality in GEO SAR by Yifan Wu, Xiyu Qi, Lijia Huang, Bingchen Zhang, Wenyi Zhang, Lili Yan

    Published 2025-01-01
    “…However, GEO SAR images often suffer from interference caused by moving targets, which affects the accurate interpretation of agricultural scenes. This interference mainly manifests in two aspects: first, the moving targets deviate from their true positions and cause severe defocusing in GEO SAR images; second, the defocusing from the shifted moving targets can obscure the actual agricultural scenes. …”
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  7. 8007

    Pollen contamination and mating structure in maritime pine (Pinus pinaster Ait.) clonal seed orchards revealed by SNP markers by Bouffier, Laurent, Debille, Sandrine, Alazard, Pierre, Raffin, Annie, Pastuszka, Patrick, Trontin, Jean-François

    Published 2023-08-01
    “…Pollen contamination rates were highly variable between seed lots (from 20 to 96%), with a mean value of 50%. Interpretative factors included the distance between the seed orchard and external pollen sources, rain during the pollination period, seed orchard age, soil conditions and seed parent identity. …”
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  8. 8008

    Efficient method for identification of Escherichia coli strains isolated from various chicken (Gallus gallus domesticus) organs by V. P. Terletskiy, V. I. Tyshchenko, O. B. Novikova, E. D. Dzhavadov, I. Ya. Shakhtamirov, N. L. Adaev

    Published 2015-07-01
    “…Chicken intestine contains endogenous E. coli strains, which hamper the interpretation of genotyping data obtained for a set of isolates. …”
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  9. 8009

    Characterization of patients with clonal mast cells in the bone marrow with clinical significance not otherwise specifiedResearch in context by Thomas Ballul, Vito Sabato, Peter Valent, Olivier Hermine, Olivier Lortholary, Julien Rossignol, Thomas Ballul, Vito Sabato, Cristina Bulai Livideanu, Antoine Neuraz, Julie Agopian, Fabienne Brenet, Patrice Dubreuil, Didier G. Ebo, Michiel Beyens, Richard Lemal, Olivier Tournilhac, Louis Terriou, David Launay, Laurence Bouillet, Catharina Chatain, Clément Gourguechon, Gandhi Damaj, Stéphane Durupt, Celine Greco, Laurent Frenzel, Christine Bodemer-Skandalis, Laura Polivka, Marine Madrange, Cécile Meni, Hassiba Bouktit, Anne Florence Bellais, Jean-Marc Durand, Marie Gousseff, Edwige Le Mouel, Mohamed Hamidou, Antoine Neel, Dana Ranta, Mathilde Niault, Aurélie Schiffmann, Stéphane Barete, Michel Arock, Danielle Canioni, Thierry Jo Molina, Julie Bruneau, Mélanie Vaes, Violaine Havelange, Hassan Faour, Nicolas Garcelon, Rose-Marie Javier, Fabien Pelletier, Florence Castelain, Denis Vincent, Frédérique Retornaz, Quentin Cabrera, Patricia Zunic, Philippe Guilpain, Marie Pierre Gourin, Ewa Wierzbicka–Hainaut, Jean François Viallard, Christian Lavigne, Cyrille Hoarau, Ludovic Lhermitte, Maël Heiblig, Roland Jaussaud, Peter Valent, Olivier Hermine, Olivier Lortholary, Julien Rossignol

    Published 2025-02-01
    “…Hereditary alpha-tryptasemia was similarly represented in MMCS and BMM (14.3% vs 19.7% respectively, p = ns). Interpretation: Clonal BMMCs may be associated with clinically relevant symptoms even if criteria for SM or MCAS are not fulfilled. …”
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  10. 8010

    Efficacy and safety of intermittent fasting for type 2 diabetes mellitus: A systematic review and meta-analysis of randomized trials by Joshua Chadwick, Lavanya Ayyasamy, Madhanraj Kalyanasundaram, Ganeshkumar Parasuraman, Bhavani Shankara Bagepally, Jeyashree Kathiresan, Lokesh Shanmugam

    Published 2025-01-01
    “…The frequency of hypoglycemic episodes was comparable across both groups. Interpretation &amp; conclusions: On the basis of moderate to low certainty of evidence, IF can be a safe dietary approach for patients with T2DM, with similar safety and effectiveness profiles to regular diets. …”
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  11. 8011

    Caution when using network partners for target identification in drug discovery by Dandan Tan, Yiheng Chen, Yann Ilboudo, Kevin Y.H. Liang, Guillaume Butler-Laporte, J. Brent Richards

    Published 2025-04-01
    “…Expanding genetically identified targets to include network partners using IntAct did not increase the likelihood of identifying drug targets across the 412 tested traits, suggesting that such results should be interpreted with caution.…”
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  12. 8012

    Prediction of microvascular obstruction from angio-based microvascular resistance and available clinical data in percutaneous coronary intervention: an explainable machine learning... by Zhe Zhang, Yang Dai, Peng Xue, Xue Bao, Xinbo Bai, Shiyang Qiao, Yuan Gao, Xuemei Guo, Yanan Xue, Qing Dai, Biao Xu, Lina Kang

    Published 2025-01-01
    “…This study aimed to validate the correlation between AMR and CMR-derived parameters and to construct an interpretable machine learning (ML) model, incorporating AMR and clinical data, to forecast MVO in ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PPCI). …”
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  13. 8013

    Prevalence of lymphedema symptoms across cancer diagnoses and association with depression, pain interference and health-related quality of life by Gitte Sone Larsen, Christoffer Johansen, Annika von Heymann, Bolette Skjødt Rafn

    Published 2025-01-01
    “…Participants with moderate/severe lymphedema symptoms were significantly more likely to report higher depression and pain interference scores and lower HRQoL scores compared to those with no/mild symptoms. Interpretation: Lymphedema symptoms are highly prevalent among patients who have completed treatment for diverse cancers and associated with higher scores for depression and pain interference, and lower HRQoL …”
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  14. 8014

    Local application of sodium thiosulfate as an otoprotectant for cisplatin-exposed patients – A narrative literature review to explore the potential benefit for children with cancer... by Nienke Streefkerk, Amirhossein Masroor, James I. Geller, Martine van Grotel, Marc Ansari, Eric Bouffet, Archie Bleyer, Brice Fresnau, Michael Sullivan, Alwin D.R. Huitema, Alexander E. Hoetink, Per Kogner, Rudolf Maibach, Allison F. O’Neill, Vassilios Papadakis, Kaukab M. Rajput, Gareth J. Veal, Penelope R. Brock, Annelot J.M. Meijer, Marry M. van den Heuvel-Eibrink

    Published 2025-06-01
    “…However, two clinical trials in adults did not show convincing evidence of otoprotection, by locally administered STS. Interpretation: Preclinical studies suggest a potential benefit of locally administered STS, however clinical evidence for a significant otoprotective effect is not yet available. …”
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  15. 8015

    Hooks, Lines, and Sinkers: How Active Galactic Nucleus Feedback and Cosmic-Ray Transport Shape the Far-infrared–Radio Correlation of Galaxies by Sam B. Ponnada, Rachel K. Cochrane, Philip F. Hopkins, Iryna S. Butsky, Sarah Wellons, N. Nicole Sanchez, Cameron Hummels, Yue Samuel Lu, Dušan Kereš, Christopher C. Hayward

    Published 2025-01-01
    “…Importantly, the indirect effect of AGN feedback on emergent observables highlights novel interpretations of outliers in the FRC. In particular, we find that in many cases “radio-excess” objects can be better understood as “IR-dim” objects with longer-lived radio contributions at low z from Type Ia supernovae and intermittent black hole accretion in quenching galaxies, though this is sensitive to the interplay of CR transport and AGN feedback physics. …”
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  16. 8016
  17. 8017

    p54-Fc-Labeled Gold Nanoparticle-Based Lateral Flow Strip-Assisted Portable Devices for Rapid and Quantitative Point-of-Care Detection of ASFV Antibodies by Yang Yang, Yuhao Li, Ziyang Wang, Minglong Tong, Pengcheng Zhu, Juanxian Deng, Zongjie Li, Ke Liu, Beibei Li, Donghua Shao, Zhongren Zhou, Yafeng Qiu, Zhiyong Ma, Jianchao Wei

    Published 2025-01-01
    “…The dilution of the serum sample can be determined by substituting the absorbance (T-line) interpreted by portable devices into the calibration curve function formula of an African swine fever virus standard serum. …”
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  18. 8018

    Spinal cord demyelination predicts neurological deterioration in patients with mild degenerative cervical myelopathy by Jefferson R Wilson, David Anderson, Stephan Duplessis, Julien Cohen-Adad, David W Cadotte, Nathan Evaniew, Jacques Bouchard, Michael Craig, Abdul Al-Shawwa, Kalum Ost, Steve Casha, W Bradley Jacobs, Saswati Tripathy, Peter Lewkonia, Fred Nicholls, Alex Soroceanu, Ganesh Swamy, Kenneth C Thomas, Michael MH Yang, Nicholas Dea

    Published 2025-01-01
    “…Various machine learning (ML) models were trained to predict 6 month neurological deterioration, followed by global and local model interpretation to assess feature importance.Results A total of 49 patients were followed for a maximum of 2 years, contributing 110 6-month data entries. …”
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  19. 8019

    Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury by Tianyun Gao, Zhiqiang Nong, Yuzhen Luo, Manqiu Mo, Zhaoyan Chen, Zhenhua Yang, Ling Pan

    Published 2024-12-01
    “…The best-performing model was interpreted by Shapley additive explanations (SHAP).Results A total of 12,196 patients were enrolled in this study. …”
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  20. 8020

    New Insights Into the Reservoir Landslide Deformation Mechanism From InSAR and Numerical Simulation Technology by Guoshi Liu, Bin Wang, Qian Sun, Jun Hu, Lei-Lei Liu, Wanji Zheng, Liye Zou

    Published 2025-01-01
    “…The numerical simulation results aid in interpreting the deformation mechanism of different spatial and temporal patterns of landslides from three aspects: hydrodynamic pressure from rainfall infiltration, groundwater hysteresis caused by RWL drop, and seepage forces from RWL rise. …”
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