Genomics of NSCLC patients both affirm PD-L1 expression and predict their clinical responses to anti-PD-1 immunotherapy.
BMC Cancer, 2018
A Study to Predict Response to Azacitidine or Lenalidomide/Azacitidine Combination Therapy in MDS and AML Patients Using a Computational Biological Modeling (CBM) Approach
Blood Journal, 2017
Computational Biology Approach to Predict Hypomethylating Agent (HMA) Response Using Genomic and Clinical Characteristics in Myelodsyplastic Syndromes (MDS)
Blood Journal, 2017
Predicting Mechanisms of Ibrutinib-Resistance in Chronic Lymphocytic Leukemia (CLL) Using Computational-Based Modeling for Personalized Therapy with Clinical Validation
Blood Journal, 2017
Computational Biology Model of ETP-ALL Used to Accurately Classify ETP-ALL Vs Non ETP-ALL Patients with Genomic Input