بدائل البحث:
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
element based » engagement based (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
element based » engagement based (توسيع البحث)
data code » data model (توسيع البحث), data came (توسيع البحث)
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10121
Image 2_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning....
منشور في 2025"…</p>Conclusion<p>In this study, we utilized bulk and single-cell transcriptomic data to uncover the potential molecular mechanisms of A-ERGs in lung cancer. …"
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10122
Image 1_Revealing key regulatory factors in lung adenocarcinoma: the role of epigenetic regulation of autophagy-related genes from transcriptomics, scRNA-seq, and machine learning....
منشور في 2025"…</p>Conclusion<p>In this study, we utilized bulk and single-cell transcriptomic data to uncover the potential molecular mechanisms of A-ERGs in lung cancer. …"
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10123
Table 1_Assessing the diagnostic value of qPCR for Trichuris trichiura: sub-analysis of a multi-country clinical trial to determine the efficacy of albendazole compared to an alben...
منشور في 2025"…Additionally, machine learning algorithms were used to predict infection intensity from qPCR Ct-values and demographic variables. qPCR confirmed the superior efficacy of FDC compared to albendazole as previously shown by KK, but discrepancies were observed in CRs between qPCR and KK, particularly lower qPCR CRs for FDC×1 and FDC×3. …"
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10124
Presentation 2_Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma.pptx
منشور في 2025"…Radiomics features were extracted from CT images, and 7 machine learning algorithms were used to develop 7 radiomics models, which were combined with deep learning features extracted from the ResNet50 deep learning network to form deep learning radiomics (DLR) models. …"
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10125
Image 1_Safety assessment of temozolomidee: real-world adverse event analysis from the FAERS database.png
منشور في 2025"…Background<p>Temozolomidee (TMZ) is an alkylating antitumor drug used in the treatment of glioblastoma and anaplastic astrocytoma. …"
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10126
Table 1_Identification and validation of CKAP2 as a novel biomarker in the development and progression of rheumatoid arthritis.docx
منشور في 2025"…Differentially expressed gene (DEG) analysis, functional enrichment analysis, and weighted gene co-expression network analysis (WGCNA) identified key gene modules in RA. Machine learning algorithms were used to identify hub genes, followed by immune infiltration analysis and gene set variation analysis (GSVA). …"
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10127
The overall framework of this study.
منشور في 2025"…Additionally, a protein-protein interaction (PPI) network was established to identify hub genes, and 8 machine learning algorithms were used to narrowed down hub genes. <i>BMX</i> and <i>CASP5</i> were consistently identified across all algorithms. …"
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10128
PANoptosis related genes.
منشور في 2025"…Additionally, a protein-protein interaction (PPI) network was established to identify hub genes, and 8 machine learning algorithms were used to narrowed down hub genes. <i>BMX</i> and <i>CASP5</i> were consistently identified across all algorithms. …"
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10129
Table 1_A novel muscle network approach for objective assessment and profiling of bulbar involvement in ALS.docx
منشور في 2025"…This tool has various strengths, including the use of a clinically readily available noninvasive instrument, fully automated data processing and analytics, and generation of interpretable objective outcome measures (i.e., latent factors), together rendering it highly scalable in routine clinical practice for assessing and monitoring of bulbar involvement.…"
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10130
Table 2_A real−world pharmacovigilance study of FDA Adverse Event Reporting System events for pralsetinib.xlsx
منشور في 2024"…</p>Conclusion<p>Our pharmacovigilance analysis of real-world data from the FEARS database revealed the safety signals and potential risks of pralsetinib usage. …"
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10131
Table 3_A real−world pharmacovigilance study of FDA Adverse Event Reporting System events for pralsetinib.xlsx
منشور في 2024"…</p>Conclusion<p>Our pharmacovigilance analysis of real-world data from the FEARS database revealed the safety signals and potential risks of pralsetinib usage. …"
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10132
Table 1_A real−world pharmacovigilance study of FDA Adverse Event Reporting System events for pralsetinib.docx
منشور في 2024"…</p>Conclusion<p>Our pharmacovigilance analysis of real-world data from the FEARS database revealed the safety signals and potential risks of pralsetinib usage. …"
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10133
Pipeline for preterm birth classifier construction.
منشور في 2025"…The whole-genome sequencing data was then used to develop classifiers for predicting PTB via a three-step process: discovery, training, and validation. …"
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10134
Primer sequences of <i>Bm</i>x and β-actin.
منشور في 2025"…Additionally, a protein-protein interaction (PPI) network was established to identify hub genes, and 8 machine learning algorithms were used to narrowed down hub genes. <i>BMX</i> and <i>CASP5</i> were consistently identified across all algorithms. …"