Bioinformatics

New Reversible Uridine Modification Chemistry For Labeling and Functionalizing Native Nucleic Acids

SUMMARY A chemical process that enables reversible, covalent RNA modification-highly selective for uridine enabling diverse functional group attachment, facilitating nucleic acid labeling The Unmet Need: Reversible labeling of native RNA in a sequence-independent and membrane-selective manner   The study… Read More

AI Pipeline For Predicting Oral Cancer Progression

SUMMARY An AI-driven system analyzes histopathology images of oral lesions using deep learning, self-supervised learning, and attention methods to predict cancer progression risk with explainable and uncertainty-quantified outputs that inform treatment decisions. The Unmet Need: Automated and accurate malignancy prediction tools The… Read More

Machine Learning-Based Prediction Of Viral Mutations From Genomic Sequences

SUMMARY There have been significant research efforts to develop machine learning and predictive analytics based tools to predict viral evolution which remains the main obstacle in the early detection of drug-resistant strains and facilitate the design of more efficient antiviral treatments. Machine learning and advanced algorithms have… Read More