Lalit Kumar

This study evaluates the diagnostic potential of urinary exosomal let-7c cluster miRNAs in bladder cancer using machine learning models, finding significant differentiation between cancer and healthy controls with high accuracy.

This study identifies miRNAs in urine as non-invasive biomarkers for bladder cancer detection with high sensitivity and specificity.

This study uses machine learning to analyze miRNA expression in blood samples to improve prostate cancer diagnosis, achieving 77.42% accuracy and reducing reliance on fixed cutoff values.

gQuant improves normalizer gene identification in qRT-PCR data by using ensemble voting classifiers, showing better consistency and accuracy than existing tools.