Shalin Vaniawala

AI-Driven Fluorescence Peak Analysis for Chromosomal Aneuploidy Detection: A Python-Based Machine Learning Approach for Enhanced Accuracy and Efficiency

This paper develops an AI-driven method using XGBoost to detect chromosomal aneuploidy in amniotic fluid samples, achieving high accuracy and significantly reducing analysis time.

Mutations within the Open Reading Frame (ORF) including Ochre stop codon of the Surface Glycoprotein gene of SARS-CoV-2 virus erase potential seed location motifs of human non-coding microRNAs.

The paper identifies mutations in the SARS-CoV-2 Surface Glycoprotein gene that disrupt potential binding sites for human microRNAs.