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  1. 59501
    por Kumar, Neeraj, Acharya, Vishal
    Publicado 2022
    “…Here, we present an advanced VS framework—automated hit identification and optimization tool (A-HIOT)—comprises chemical space-driven stacked ensemble for identification and protein space-driven deep learning architectures for optimization of an array of specific hits for fixed protein receptors. …”
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    Online Artículo Texto
    Machine intelligence-driven framework for optimized hit selection in virtual screening
  2. 59502
    “…Results: We validated the feasibility of CVD/stroke risk stratification in PD patients in the presence of a COVID-19 environment and this was also verified. DL architectures like long short-term memory (LSTM), and recurrent neural network (RNN) were studied for CVD/stroke risk stratification showing powerful designs. …”
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    Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review
  3. 59503
    “…CONCLUSIONS: A novel methodology was developed to detect causal sentences and identify both explicit and implicit, single and multiword cause, and the corresponding effect, as expressed in diabetes-related tweets leveraging BERT-based architectures and visualized as cause-effect network. …”
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    Online Artículo Texto
    Extraction of Explicit and Implicit Cause-Effect Relationships in Patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach
  4. 59504
    “…CONCLUSION: This paper examines the effectiveness of well-known ML architectures on a joint collection of chest-X-rays and cough samples for early classification of COVID-19. …”
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    Online Artículo Texto
    A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques
  5. 59505
    “…SmartPath uses two deep learning architectures, a U-Net based network for cell segmentation and a multi-field-of-view convolutional network for tumor area segmentation, to extract features from digitized H&E-stained formalin-fixed paraffin-embedded slides. …”
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    Online Artículo Texto
    Artificial intelligence-augmented histopathologic review using image analysis to optimize DNA yield from formalin-fixed paraffin-embedded slides
  6. 59506
    “…We tested three neural network architectures (ResNet-50, VGG-16, and ChexNet), three segmentation schemes (no segmentation, lung segmentation, and lateral segmentation based on spine detection), and three data balancing strategies (undersampling, double-stage sampling, and synthetic minority oversampling) using 38,079 CXR images for training, and validation with 286 images as the out-of-the-box dataset that underwent expert radiologist adjudication. …”
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    Online Artículo Texto
    A radiographic, deep transfer learning framework, adapted to estimate lung opacities from chest x-rays
  7. 59507
    “…There is not statistically significance between EfficientNet-B4 and ResNet-18 architectures and both of them are significantly statistically better than the VGG-16 model. …”
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    Online Artículo Texto
    Recognizing pathology of renal tumor from macroscopic cross-section image by deep learning
  8. 59508
    “…CONCLUSIONS: Different subtypes of compound EGFR mutations displayed distinct clinical features and genetic architectures, and rare mutation-dominant compound EGFR mutations were associated with enriched kinase domain-resided VUSs and poor clinical outcomes. …”
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    Online Artículo Texto
    Rare mutation-dominant compound EGFR-positive NSCLC is associated with enriched kinase domain-resided variants of uncertain significance and poor clinical outcomes
  9. 59509
    por Kwon, Oh-In, Lee, Mun Bae, Jahng, Geon-Ho
    Publicado 2023
    “…Using high and low b-value diffusion weighted imaging (DWI) data, the multi-compartment spherical mean technique (MC-SMT) characterizes the water molecule movement within and between intra- and extra-neurite compartments by analyzing the microstructures and underlying architectural organization of brain tissues. The proposed method decomposes the recovered HFC into the conductivity values in the intra- and extra-neurite compartments via the recovered intra-neurite volume fraction (IVF) and the diffusion patterns using DWI data. …”
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    High frequency conductivity decomposition by solving physically constraint underdetermined inverse problem in human brain
  10. 59510
    “…BACKGROUND: Plant organelle genomes are a valuable resource for evolutionary biology research, yet their genome architectures, evolutionary patterns and environmental adaptations are poorly understood in many lineages. …”
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    Comparative analysis of the organelle genomes of three Rhodiola species provide insights into their structural dynamics and sequence divergences
  11. 59511
    “…A deep learning algorithm (DeepBreath) using convolutional neural networks, long short-term memory models, and transformer architectures will be trained on these audio recordings and LUS images to derive an automated diagnostic tool. …”
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    Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case–control study
  12. 59512
    “…Inherent brittleness, which easily leads to crack formation and propagation during use, is a serious problem for protective ceramic thin-film applications. Superlattice architectures, with alternating nm-thick layers of typically softer/stiffer materials, have been proven powerful method to improve the mechanical performance of, e.g., cubic transition metal nitride ceramics. …”
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    Ceramic transition metal diboride superlattices with improved ductility and fracture toughness screened by ab initio calculations
  13. 59513
    “…METHODS: The study used more than 4000 CT subjects acquired from the large-scale SCAPIS and IGT cohort to train and evaluate four convolutional neural network based architectures: ResUNET, UNET++, Ghost-UNET, and the proposed Ghost-UNET++. …”
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    Online Artículo Texto
    Automatic segmentation of large-scale CT image datasets for detailed body composition analysis
  14. 59514
    “…Multiple Bayesian ResNet18 architectures were trained on a multicentric dataset, consisting of 22 videos from two centers. …”
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    Online Artículo Texto
    Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study
  15. 59515
    “…In the fourth patient plaque centres contained almost no Aβ making the plaques ring-shaped. The architectural pattern of plaques also varied between different anatomic regions. …”
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    The Arctic AβPP mutation leads to Alzheimer’s disease pathology with highly variable topographic deposition of differentially truncated Aβ
  16. 59516
    “…METHODS: The CDM software framework was developed using a test-driven development (TDD) approach, to ensure high software quality. Architecturally, CDM’s design is split over a number of modules, to ensure future extendability. …”
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    Clinical Data Miner: An Electronic Case Report Form System With Integrated Data Preprocessing and Machine-Learning Libraries Supporting Clinical Diagnostic Model Research
  17. 59517
    “…Mapping infertility genes, life history traits and behavioural traits on this map revealed several significant QTL peaks and showed a complex pattern of underlying genetics, with different traits showing strongly different genetic architectures. CONCLUSIONS: The new linkage map of D. magna constructed here allowed us to characterize genetic differences among parent genotypes from populations with ecological differences. …”
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    An SNP-based second-generation genetic map of Daphnia magna and its application to QTL analysis of phenotypic traits
  18. 59518
    “…Finally, breast cancer was characterized by a complete architectural subversion: ductal carcinoma was characterized by ill-defined structures, with dark borders and irregular ductal shape, formingribbons, tubules or nests; mucinous carcinoma showed smaller cells organized in clusters, floating in an amorphous extracellular matrix. …”
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    Confocal laser endomicroscopy in breast surgery: a pilot study
  19. 59519
    “…CONCLUSIONS: Diligent mHealth app library curation, medical device regulation constraints, and cross-platform differences in mobile phone sensor architectures may all contribute to the observed limited availability of mHealth apps using built-in phone sensors in curated mHealth app libraries. …”
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    Assessment of Mobile Health Apps Using Built-In Smartphone Sensors for Diagnosis and Treatment: Systematic Survey of Apps Listed in International Curated Health App Libraries
  20. 59520
    “…Significant cingulum architectural disturbances were observed in traumatic brain injury patients. …”
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    Online Artículo Texto
    Functional and Structural Integrity of Frontoparietal Connectivity in Traumatic and Anoxic Coma
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