Publications by authors named "Nguyen Duy Khang Le"

Article Synopsis
  • Breast cancer is a leading cause of cancer-related death among women in the US, with current screening methods often hindered by high false positive rates.
  • Researchers developed a new approach called SPOT-MAS, analyzing cell free DNA from 239 breast cancer patients and 278 healthy individuals.
  • The study revealed that combining different DNA signatures significantly improved detection accuracy for early-stage breast cancer, achieving a high AUC of 0.91, with 65% sensitivity at 96% specificity.
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  • * Researchers identified unique methylation markers from cell-free DNA of HCC patients and used them to train machine learning models, which successfully differentiated HCC patients from high-risk individuals without the cancer in testing.
  • * By integrating these methylation markers with existing serum biomarkers in a commercial test, they achieved improved detection accuracy for HCC, demonstrating potential for early diagnosis.
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  • * This study analyzed blood samples from 159 CRC patients and 158 healthy individuals, using a deep neural network to classify based on DNA fragment length and methylation profiles.
  • * The SPOT-MAS model showed high accuracy with a sensitivity of 96.8% and specificity of 97%, along with strong external validation results, indicating its potential for effective early-stage CRC detection.
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