يعرض 161 - 180 نتائج من 294 نتيجة بحث عن '(( algorithm ((fibrin function) OR (brain function)) ) OR ( algorithm python function ))', وقت الاستعلام: 0.38s تنقيح النتائج
  1. 161

    Data Sheet 1_Machine learning models predict coagulopathy in traumatic brain injury patients in ER.csv حسب Haoyu Wang (429641)

    منشور في 2025
    "…<p>Traumatic brain injury (TBI) is a critical emergency condition, with 15–35% of patients developing coagulopathy, increasing risks of secondary brain injury and mortality. …"
  2. 162

    Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms حسب Connor Lee (22327243)

    منشور في 2025
    "…This framework provides scalable, reproducible insights into astrocyte behavior, advancing understanding of glial cell function in brain injury and repair.</p>…"
  3. 163

    Table 1_Identifying pyroptosis-hub genes and immune infiltration in neonatal hypoxic-ischemic brain injury.docx حسب Chi Qin (10001651)

    منشور في 2025
    "…Immune infiltration analysis revealed that, compared to the control group, the HIBD group exhibited higher levels of innate immune cells (e.g., macrophages, M0 cells, and dendritic cells) and adaptive immune cells (e.g., CD8 naïve T cells, CD4 follicular helper T cells, and Th1 cells). The ssGSEA algorithm results indicated differences in 25 types of immune cells and 10 immune functions. …"
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    Supplementary file 1_Identifying pyroptosis-hub genes and immune infiltration in neonatal hypoxic-ischemic brain injury.docx حسب Chi Qin (10001651)

    منشور في 2025
    "…Immune infiltration analysis revealed that, compared to the control group, the HIBD group exhibited higher levels of innate immune cells (e.g., macrophages, M0 cells, and dendritic cells) and adaptive immune cells (e.g., CD8 naïve T cells, CD4 follicular helper T cells, and Th1 cells). The ssGSEA algorithm results indicated differences in 25 types of immune cells and 10 immune functions. …"
  9. 169

    Data information and schematic diagram of the overlapping modular architecture based on the edge-centric module detection. حسب Tianyuan Lei (19683861)

    منشور في 2024
    "…<b>(B)</b> (i) Traditional brain functional connectivity network. In this network, each node denotes a brain region of interest, and each link denotes the interregional functional connectivity. …"
  10. 170

    Overview of the research process. حسب Pedro Fong (2378413)

    منشور في 2025
    "…We used the automated docking suite GOLD v5.5 with the genetic algorithm to simulate molecular docking and predict the protein-ligand binding modes, and the ChemPLP empirical scoring function to estimate the binding affinities of 2,115 FDA-approved drugs to the human Ca<sub>v</sub>3.1 channel. …"
  11. 171

    Figure 3 from Membrane-bound Heat Shock Protein mHsp70 Is Required for Migration and Invasion of Brain Tumors حسب Maxim Shevtsov (15023874)

    منشور في 2025
    "…<b>A,</b> Designation of the brain tumor regions on postcontrast T1-weighted image for obtaining tumor samples from necrotic, tumor, and peritumoral regions. …"
  12. 172

    Table_1_High-order brain network feature extraction and classification method of first-episode schizophrenia: an EEG study.csv حسب Yanxia Kang (9949844)

    منشور في 2024
    "…This approach addresses the limitations of traditional higher-order brain network analyses that rely on single persistent features (e.g., persistent images).…"
  13. 173

    Table 1_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

    منشور في 2025
    "…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
  14. 174

    Table 2_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

    منشور في 2025
    "…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
  15. 175

    Table 3_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.xlsx حسب Francesco Chiani (2661328)

    منشور في 2025
    "…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
  16. 176

    Table 4_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.docx حسب Francesco Chiani (2661328)

    منشور في 2025
    "…To overcome this fragmentation, we applied an integrative approach that combines a cutting-edge AI-assisted algorithm for evidence screening with a Python-based semantic clustering pipeline. …"
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    Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model حسب Marina Diachenko (19739092)

    منشور في 2025
    "…<p dir="ltr">The <i>zip</i> file contains the code for the functional excitation-inhibition ratio (fE/I) and theta-gamma (θ-γ) phase-amplitude coupling (PAC) analyses described in the paper titled "<b>Hippocampal and cortical activity reflect early </b><b>hyperexcitability</b><b> in an Alzheimer's mouse model</b>" submitted to <i>Brain Communications</i> in April 2025.…"
  19. 179

    Data Sheet 1_Alterations in gut microbiota and plasma metabolites: a multi-omics study of mild cognitive impairment in Parkinson’s disease.docx حسب Zihao Lin (9312240)

    منشور في 2025
    "…We examined fecal and plasma specimens from these participants. Cognitive function was assessed via the Montreal Cognitive Assessment (MoCA). …"
  20. 180

    Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf حسب Gabriella Yakemow (20137758)

    منشور في 2024
    "…Additionally, we utilized two previously established machine learning-based algorithms, one representing AD-like brain activity (Machine learning-based AD Designation [MAD]) and the other focused on AD-like brain structural changes (AD-like Brain Structure [ABS]). …"