Srinivasulu Yerukala Sathipati

This paper develops a multi-omics machine learning framework to estimate ovarian cancer survival, identifying a 20-biomarker signature that improves prognostic accuracy.

This paper develops AMLS, an evolutionary learning method combined with SVR, to identify a miRNA signature for improved survival prediction in AML, achieving high prognostic accuracy.

The paper identifies a microRNA signature that predicts post-operative atrial fibrillation after coronary artery bypass grafting using machine learning models.