1. A PERSONALIZED ONCOLOGY MOBILE APPLICATION INTEGRATING CLINICAL AND GENOMIC FEATURES TO PREDICT THE RISK STRATIFICATION OF LUNG CANCER PATIENTS VIA MACHINE LEARNING
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2. A Review of Using CNN Approach for Lung Cancer Detection Through Machine Learning
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3. Applying Serum Proteins and MicroRNA as Novel Biomarkers for Early-Stage Cervical Cancer Detection
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4. Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis
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5. Computational Intelligence Methods for Predicting Cancer Susceptibility from SNP Data
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6. Factors related to tumor response rate from TCGA three omics data—variants, expression, methylation
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7. miR-92a-3p Promoted EMT via Targeting LATS1 in Cervical Cancer Stem Cells
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8. Big Data Application in Cancer Classification by Analysis of RNA-seq Gene Expression
   Amruth A et al, 2023, 2023 3rd International Conference on Intelligent Technologies (CONIT) CrossRef
9. The Lung Cancer Associated MicroRNAs and Single Nucleotides Polymorphisms: a Mendelian Randomization Analysis
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10. Diagnostic and Therapeutic Implications of microRNAs in Non-Small Cell Lung Cancer
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12. Machine Learning in Stem Cells Research: Application for Biosafety and Bioefficacy Assessment
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13. A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma
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14. AI/ML advances in non-small cell lung cancer biomarker discovery
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15. Epigenetic Alterations of DNA Methylation and miRNA Contribution to Lung Adenocarcinoma
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