Adityanarayanan Radhakrishnan

This study shows PD-1 blockade during T cell priming promotes an intermediate-exhausted CD8 T cell state that supports durable anti-tumor immunity after surgery and metastatic challenge, better than effector or memory-like T cells.

This study uses single-cell image-based CRISPR screens to identify host factors regulating Ebola virus infection, revealing new therapeutic targets like UQCRB and STRAP.

The paper develops a pipeline using Recursive Feature Machines to identify synthetic lethal gene pairs from CRISPR viability data, improving accuracy over prior methods and discovering new candidates.

This paper develops a cross-modal autoencoder framework to integrate cardiac MRI and ECG data, improving phenotype prediction and enabling MRI imputation from ECGs.

This paper introduces an autoencoder-based method to integrate single-cell imaging and sequencing data, identifying sub-populations of human naive CD4+ T-cells.