Sanju Sinha

Nov 15, 2024 | biorxiv.org | Di Wu |Sanna Madan |Sanju Sinha |Yael Gurevich Schmidt

AbstractThe aging of the immune system substantially impacts individual immune responses, yet accurately quantifying immune age remains a complex challenge. Here we developed IMMClock, a novel immune aging clock that uses gene expression data to predict the biological age of individual CD8⁺ T cells, CD4⁺ T cells, and NK cells. The accuracy of IMMClock is first validated across multiple independent datasets, demonstrating its robustness.

Jul 3, 2024 | nature.com | Danh-Tai Hoang |Eldad D. Shulman |Doreen S. Ben-Zvi |Sanju Sinha |Neelam Sinha |Christopher Dampier | +12 more

AbstractAdvances in artificial intelligence have paved the way for leveraging hematoxylin and eosin-stained tumor slides for precision oncology. We present ENLIGHT–DeepPT, an indirect two-step approach consisting of (1) DeepPT, a deep-learning framework that predicts genome-wide tumor mRNA expression from slides, and (2) ENLIGHT, which predicts response to targeted and immune therapies from the inferred expression values.