Tripti Swarnkar

Efficient latent-vision enabled generative data augmented pipeline for medical image analysis with hybrid deep learning approach

Medical image analysis is an important process involved in diagnosing diseases, but a lack of data, class imbalance, and poor interpretability of deep learning models hamper it. In this study, these problems are overcome by proposing a hybrid generative data-augmented method for...

Comparative genomics reveals genotype-phenotype concordance and cryptic resistomes in clinical Pseudomonas aeruginosa

Abstract Background Pseudomonas aeruginosa (P. aeruginosa) is a major pathogen because of its adaptability. It shows rapid evolution of multidrug resistance (MDR). Phenotype-based diagnostics often fail to detect silent resistance determinants and early adaptive changes. This stu...