Rajat Kumar De

NeuroMDAVIS is a multi-omics visualization model that integrates multiple data modalities to generate low-dimensional embeddings preserving local and global structures, outperforming existing methods.

This study uses computational methods to identify drugs targeting ACE2 and AT1R to mitigate cytokine storm in COVID-19, highlighting Lomefloxacin and Fostamatinib as promising candidates.

UMINT is a novel unsupervised neural network for integrating single-cell multi-omics data, achieving better performance than existing methods on CITE-seq datasets.

The paper shows that catestatin reduces ER stress and improves insulin sensitivity in obese mice, supported by in silico simulations.